LA: Improving ctor xml doc based on user feedback

src/Numerics/LinearAlgebra/Complex/DenseMatrix.cs

@@ -3,7 +3,9 @@
 // http://numerics.mathdotnet.com
 // http://github.com/mathnet/mathnet-numerics
 // http://mathnetnumerics.codeplex.com
-// Copyright (c) 2009-2010 Math.NET
+//
+// Copyright (c) 2009-2013 Math.NET
+//
 // Permission is hereby granted, free of charge, to any person
 // obtaining a copy of this software and associated documentation
 // files (the "Software"), to deal in the Software without
@@ -12,8 +14,10 @@
 // copies of the Software, and to permit persons to whom the
 // Software is furnished to do so, subject to the following
 // conditions:
+//
 // The above copyright notice and this permission notice shall be
 // included in all copies or substantial portions of the Software.
+//
 // THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
 // EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
 // OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
@@ -63,7 +67,10 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         readonly Complex[] _values;
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseMatrix"/> class.
+        /// Create a new dense matrix straight from an initialized matrix storage instance.
+        /// The storage is used directly without copying.
+        /// Intended for advanced scenarios where you're working directly with
+        /// storage for performance or interop reasons.
         /// </summary>
         public DenseMatrix(DenseColumnMajorMatrixStorage<Complex> storage)
             : base(storage)
@@ -74,41 +81,33 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseMatrix"/> class. This matrix is square with a given size.
+        /// Create a new square dense matrix with the given number of rows and columns.
+        /// All cells of the matrix will be initialized to zero.
+        /// Zero-length matrices are not supported.
         /// </summary>
-        /// <param name="order">the size of the square matrix.</param>
+        /// <exception cref="ArgumentException">If the order is less than one.</exception>
-        /// <exception cref="ArgumentException">
-        /// If <paramref name="order"/> is less than one.
-        /// </exception>
         public DenseMatrix(int order)
             : this(new DenseColumnMajorMatrixStorage<Complex>(order, order))
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseMatrix"/> class.
+        /// Create a new dense matrix with the given number of rows and columns.
+        /// All cells of the matrix will be initialized to zero.
+        /// Zero-length matrices are not supported.
         /// </summary>
-        /// <param name="rows">
+        /// <exception cref="ArgumentException">If the row or column count is less than one.</exception>
-        /// The number of rows.
-        /// </param>
-        /// <param name="columns">
-        /// The number of columns.
-        /// </param>
         public DenseMatrix(int rows, int columns)
             : this(new DenseColumnMajorMatrixStorage<Complex>(rows, columns))
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseMatrix"/> class with all entries set to a particular value.
+        /// Create a new dense matrix with the given number of rows and columns.
+        /// All cells of the matrix will be initialized to the provided value.
+        /// Zero-length matrices are not supported.
         /// </summary>
-        /// <param name="rows">
+        /// <exception cref="ArgumentException">If the row or column count is less than one.</exception>
-        /// The number of rows.
-        /// </param>
-        /// <param name="columns">
-        /// The number of columns.
-        /// </param>
-        /// <param name="value">The value which we assign to each element of the matrix.</param>
         public DenseMatrix(int rows, int columns, Complex value)
             : this(rows, columns)
         {
@@ -119,22 +118,21 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseMatrix"/> class from a one dimensional array. This constructor
+        /// Create a new dense matrix with the given number of rows and columns directly binding to a raw array.
-        /// will reference the one dimensional array and not copy it.
+        /// The array is assumed to be in column-major order and is used directly without copying.
+        /// Very efficient, but changes to the array and the matrix will affect each other.
         /// </summary>
-        /// <param name="rows">The number of rows.</param>
+        /// <seealso cref="http://en.wikipedia.org/wiki/Row-major_order"/>
-        /// <param name="columns">The number of columns.</param>
+        public DenseMatrix(int rows, int columns, Complex[] storage)
-        /// <param name="array">The one dimensional array to create this matrix from. This array should store the matrix in column-major order. see: http://en.wikipedia.org/wiki/Row-major_order </param>
+            : this(new DenseColumnMajorMatrixStorage<Complex>(rows, columns, storage))
-        public DenseMatrix(int rows, int columns, Complex[] array)
-            : this(new DenseColumnMajorMatrixStorage<Complex>(rows, columns, array))
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseMatrix"/> class from a 2D array. This constructor
+        /// Create a new dense matrix as a copy of the given two-dimensional array.
-        /// will allocate a completely new memory block for storing the dense matrix.
+        /// This new matrix will be independent from the provided array.
+        /// A new memory block will be allocated for storing the matrix.
         /// </summary>
-        /// <param name="array">The 2D array to create this matrix from.</param>
         public DenseMatrix(Complex[,] array)
             : this(array.GetLength(0), array.GetLength(1))
         {
@@ -148,10 +146,10 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseMatrix"/> class, copying
+        /// Create a new dense matrix as a copy of the given other matrix.
-        /// the values from the given matrix.
+        /// This new matrix will be independent from the other matrix.
+        /// A new memory block will be allocated for storing the matrix.
         /// </summary>
-        /// <param name="matrix">The matrix to copy.</param>
         public DenseMatrix(Matrix<Complex> matrix)
             : this(matrix.RowCount, matrix.ColumnCount)
         {

src/Numerics/LinearAlgebra/Complex/DenseVector.cs

@@ -58,7 +58,10 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         readonly Complex[] _values;
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseVector"/> class.
+        /// Create a new dense vector straight from an initialized vector storage instance.
+        /// The storage is used directly without copying.
+        /// Intended for advanced scenarios where you're working directly with
+        /// storage for performance or interop reasons.
         /// </summary>
         public DenseVector(DenseVectorStorage<Complex> storage)
             : base(storage)
@@ -68,34 +71,24 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseVector"/> class with a given size.
+        /// Create a new dense vector with the given length.
+        /// All cells of the vector will be initialized to zero.
+        /// Zero-length vectors are not supported.
         /// </summary>
-        /// <param name="size">
+        /// <exception cref="ArgumentException">If length is less than one.</exception>
-        /// the size of the vector.
+        public DenseVector(int length)
-        /// </param>
+            : this(new DenseVectorStorage<Complex>(length))
-        /// <exception cref="ArgumentException">
-        /// If <paramref name="size"/> is less than one.
-        /// </exception>
-        public DenseVector(int size)
-            : this(new DenseVectorStorage<Complex>(size))
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseVector"/> class with a given size
+        /// Create a new dense vector with the given length.
-        /// and each element set to the given value;
+        /// All cells of the vector will be initialized with the provided value.
+        /// Zero-length vectors are not supported.
         /// </summary>
-        /// <param name="size">
+        /// <exception cref="ArgumentException">If length is less than one.</exception>
-        /// the size of the vector.
+        public DenseVector(int length, Complex value)
-        /// </param>
+            : this(length)
-        /// <param name="value">
-        /// the value to set each element to.
-        /// </param>
-        /// <exception cref="ArgumentException">
-        /// If <paramref name="size"/> is less than one.
-        /// </exception>
-        public DenseVector(int size, Complex value)
-            : this(size)
         {
             for (var index = 0; index < _values.Length; index++)
             {
@@ -104,12 +97,10 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseVector"/> class by
+        /// Create a new dense vector as a copy of the given other vector.
-        /// copying the values from another.
+        /// This new vector will be independent from the other vector.
+        /// A new memory block will be allocated for storing the matrix.
         /// </summary>
-        /// <param name="other">
-        /// The vector to create the new vector from.
-        /// </param>
         public DenseVector(Vector<Complex> other)
             : this(other.Count)
         {
@@ -117,13 +108,12 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseVector"/> class for an array.
+        /// Create a new dense vector directly binding to a raw array.
+        /// The array is used directly without copying.
+        /// Very efficient, but changes to the array and the vector will affect each other.
         /// </summary>
-        /// <param name="array">The array to create this vector from.</param>
+        public DenseVector(Complex[] storage)
-        /// <remarks>The vector does not copy the array, but keeps a reference to it. Any
+            : this(new DenseVectorStorage<Complex>(storage.Length, storage))
-        /// changes to the vector will also change the array.</remarks>
-        public DenseVector(Complex[] array)
-            : this(new DenseVectorStorage<Complex>(array.Length, array))
         {
         }
 

src/Numerics/LinearAlgebra/Complex/DiagonalMatrix.cs

@@ -3,7 +3,9 @@
 // http://numerics.mathdotnet.com
 // http://github.com/mathnet/mathnet-numerics
 // http://mathnetnumerics.codeplex.com
-// Copyright (c) 2009-2010 Math.NET
+//
+// Copyright (c) 2009-2013 Math.NET
+//
 // Permission is hereby granted, free of charge, to any person
 // obtaining a copy of this software and associated documentation
 // files (the "Software"), to deal in the Software without
@@ -12,8 +14,10 @@
 // copies of the Software, and to permit persons to whom the
 // Software is furnished to do so, subject to the following
 // conditions:
+//
 // The above copyright notice and this permission notice shall be
 // included in all copies or substantial portions of the Software.
+//
 // THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
 // EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
 // OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
@@ -56,7 +60,10 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         readonly Complex[] _data;
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DiagonalMatrix"/> class.
+        /// Create a new diagonal matrix straight from an initialized matrix storage instance.
+        /// The storage is used directly without copying.
+        /// Intended for advanced scenarios where you're working directly with
+        /// storage for performance or interop reasons.
         /// </summary>
         public DiagonalMatrix(DiagonalMatrixStorage<Complex> storage)
             : base(storage)
@@ -65,70 +72,59 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
             _data = _storage.Data;
         }
 
-         /// <summary>
+        /// <summary>
-        /// Initializes a new instance of the <see cref="DiagonalMatrix"/> class. This matrix is square with a given size.
+        /// Create a new square diagonal matrix with the given number of rows and columns.
+        /// All cells of the matrix will be initialized to zero.
+        /// Zero-length matrices are not supported.
         /// </summary>
-        /// <param name="order">the size of the square matrix.</param>
+        /// <exception cref="ArgumentException">If the order is less than one.</exception>
-        /// <exception cref="ArgumentException">
-        /// If <paramref name="order"/> is less than one.
-        /// </exception>
         public DiagonalMatrix(int order)
             : this(new DiagonalMatrixStorage<Complex>(order, order))
          {
          }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DiagonalMatrix"/> class.
+        /// Create a new diagonal matrix with the given number of rows and columns.
+        /// All cells of the matrix will be initialized to zero.
+        /// Zero-length matrices are not supported.
         /// </summary>
-        /// <param name="rows">
+        /// <exception cref="ArgumentException">If the row or column count is less than one.</exception>
-        /// The number of rows.
-        /// </param>
-        /// <param name="columns">
-        /// The number of columns.
-        /// </param>
         public DiagonalMatrix(int rows, int columns)
             : this(new DiagonalMatrixStorage<Complex>(rows, columns))
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DiagonalMatrix"/> class with all diagonal entries set to a particular value.
+        /// Create a new diagonal matrix with the given number of rows and columns.
+        /// All diagonal cells of the matrix will be initialized to the provided value, all non-diagonal ones to zero.
+        /// Zero-length matrices are not supported.
         /// </summary>
-        /// <param name="rows">
+        /// <exception cref="ArgumentException">If the row or column count is less than one.</exception>
-        /// The number of rows.
+        public DiagonalMatrix(int rows, int columns, Complex diagonalValue)
-        /// </param>
-        /// <param name="columns">
-        /// The number of columns.
-        /// </param>
-        /// <param name="value">The value which we assign to each diagonal element of the matrix.</param>
-        public DiagonalMatrix(int rows, int columns, Complex value)
             : this(rows, columns)
         {
             for (var i = 0; i < _data.Length; i++)
             {
-                _data[i] = value;
+                _data[i] = diagonalValue;
             }
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DiagonalMatrix"/> class from a one dimensional array with diagonal elements. This constructor
+        /// Create a new diagonal matrix with the given number of rows and columns directly binding to a raw array.
-        /// will reference the one dimensional array and not copy it.
+        /// The array is assumed to contain the diagonal elements only and is used directly without copying.
+        /// Very efficient, but changes to the array and the matrix will affect each other.
         /// </summary>
-        /// <param name="rows">The number of rows.</param>
+        public DiagonalMatrix(int rows, int columns, Complex[] diagonalStorage)
-        /// <param name="columns">The number of columns.</param>
+            : this(new DiagonalMatrixStorage<Complex>(rows, columns, diagonalStorage))
-        /// <param name="diagonalArray">The one dimensional array which contain diagonal elements.</param>
-        public DiagonalMatrix(int rows, int columns, Complex[] diagonalArray)
-            : this(new DiagonalMatrixStorage<Complex>(rows, columns, diagonalArray))
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DiagonalMatrix"/> class from a 2D array.
+        /// Create a new diagonal matrix as a copy of the given two-dimensional array.
+        /// This new matrix will be independent from the provided array.
+        /// The array to copy from must be diagonal as well.
+        /// A new memory block will be allocated for storing the matrix.
         /// </summary>
-        /// <param name="array">The 2D array to create this matrix from.</param>
-        /// <exception cref="IndexOutOfRangeException">When <paramref name="array"/> contains an off-diagonal element.</exception>
-        /// <exception cref="IndexOutOfRangeException">Depending on the implementation, an <see cref="IndexOutOfRangeException"/>
-        /// may be thrown if one of the indices is outside the dimensions of the matrix.</exception>
         public DiagonalMatrix(Complex[,] array)
             : this(array.GetLength(0), array.GetLength(1))
         {
@@ -149,10 +145,11 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DiagonalMatrix"/> class, copying
+        /// Create a new diagonal matrix as a copy of the given other matrix.
-        /// the values from the given matrix.
+        /// This new matrix will be independent from the other matrix.
+        /// The matrix to copy from must be diagonal as well.
+        /// A new memory block will be allocated for storing the matrix.
         /// </summary>
-        /// <param name="matrix">The matrix to copy.</param>
         public DiagonalMatrix(Matrix<Complex> matrix)
             : this(matrix.RowCount, matrix.ColumnCount)
         {

src/Numerics/LinearAlgebra/Complex/Matrix.cs

@@ -3,7 +3,9 @@
 // http://numerics.mathdotnet.com
 // http://github.com/mathnet/mathnet-numerics
 // http://mathnetnumerics.codeplex.com
-// Copyright (c) 2009-2010 Math.NET
+//
+// Copyright (c) 2009-2013 Math.NET
+//
 // Permission is hereby granted, free of charge, to any person
 // obtaining a copy of this software and associated documentation
 // files (the "Software"), to deal in the Software without
@@ -12,8 +14,10 @@
 // copies of the Software, and to permit persons to whom the
 // Software is furnished to do so, subject to the following
 // conditions:
+//
 // The above copyright notice and this permission notice shall be
 // included in all copies or substantial portions of the Software.
+//
 // THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
 // EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
 // OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND

src/Numerics/LinearAlgebra/Complex/SparseMatrix.cs

@@ -4,7 +4,7 @@
 // http://github.com/mathnet/mathnet-numerics
 // http://mathnetnumerics.codeplex.com
 //
-// Copyright (c) 2009-2010 Math.NET
+// Copyright (c) 2009-2013 Math.NET
 //
 // Permission is hereby granted, free of charge, to any person
 // obtaining a copy of this software and associated documentation
@@ -39,7 +39,8 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
     using System.Numerics;
 
     /// <summary>
-    /// A Matrix class with sparse storage. The underlying storage scheme is 3-array compressed-sparse-row (CSR) Format.
+    /// A Matrix with sparse storage, intended for very large matrices where most of the cells are zero.
+    /// The underlying storage scheme is 3-array compressed-sparse-row (CSR) Format.
     /// <a href="http://en.wikipedia.org/wiki/Sparse_matrix#Compressed_sparse_row_.28CSR_or_CRS.29">Wikipedia - CSR</a>.
     /// </summary>
     [Serializable]
@@ -58,7 +59,10 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseMatrix"/> class.
+        /// Create a new sparse matrix straight from an initialized matrix storage instance.
+        /// The storage is used directly without copying.
+        /// Intended for advanced scenarios where you're working directly with
+        /// storage for performance or interop reasons.
         /// </summary>
         public SparseMatrix(SparseCompressedRowMatrixStorage<Complex> storage)
             : base(storage)
@@ -67,41 +71,33 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseMatrix"/> class.
+        /// Create a new sparse matrix with the given number of rows and columns.
+        /// All cells of the matrix will be initialized to zero.
+        /// Zero-length matrices are not supported.
         /// </summary>
-        /// <param name="rows">
+        /// <exception cref="ArgumentException">If the row or column count is less than one.</exception>
-        /// The number of rows.
-        /// </param>
-        /// <param name="columns">
-        /// The number of columns.
-        /// </param>
         public SparseMatrix(int rows, int columns)
             : this(new SparseCompressedRowMatrixStorage<Complex>(rows, columns))
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseMatrix"/> class. This matrix is square with a given size.
+        /// Create a new square sparse matrix with the given number of rows and columns.
+        /// All cells of the matrix will be initialized to zero.
+        /// Zero-length matrices are not supported.
         /// </summary>
-        /// <param name="order">the size of the square matrix.</param>
+        /// <exception cref="ArgumentException">If the order is less than one.</exception>
-        /// <exception cref="ArgumentException">
-        /// If <paramref name="order"/> is less than one.
-        /// </exception>
         public SparseMatrix(int order)
             : this(order, order)
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseMatrix"/> class with all entries set to a particular value.
+        /// Create a new sparse matrix with the given number of rows and columns.
+        /// All cells of the matrix will be initialized to the provided value.
+        /// Zero-length matrices are not supported.
         /// </summary>
-        /// <param name="rows">
+        /// <exception cref="ArgumentException">If the row or column count is less than one.</exception>
-        /// The number of rows.
-        /// </param>
-        /// <param name="columns">
-        /// The number of columns.
-        /// </param>
-        /// <param name="value">The value which we assign to each element of the matrix.</param>
         [Obsolete("Use a dense matrix instead. Scheduled for removal in v3.0.")]
         public SparseMatrix(int rows, int columns, Complex value)
             : this(rows, columns)
@@ -136,13 +132,12 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseMatrix"/> class from a one dimensional array.
+        /// Create a new sparse matrix with the given number of rows and columns as a copy of the given array.
+        /// The array is assumed to be in column-major order.
+        /// This new matrix will be independent from the provided array.
+        /// A new memory block will be allocated for storing the matrix.
         /// </summary>
-        /// <param name="rows">The number of rows.</param>
+        /// <seealso cref="http://en.wikipedia.org/wiki/Row-major_order"/>
-        /// <param name="columns">The number of columns.</param>
-        /// <param name="array">The one dimensional array to create this matrix from. This array should store the matrix in column-major order. see: http://en.wikipedia.org/wiki/Column-major_order </param>
-        /// <exception cref="ArgumentOutOfRangeException">If <paramref name="array"/> length is less than <paramref name="rows"/> * <paramref name="columns"/>.
-        /// </exception>
         public SparseMatrix(int rows, int columns, Complex[] array)
             : this(rows, columns)
         {
@@ -161,9 +156,10 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseMatrix"/> class from a 2D array.
+        /// Create a new sparse matrix as a copy of the given two-dimensional array.
+        /// This new matrix will be independent from the provided array.
+        /// A new memory block will be allocated for storing the matrix.
         /// </summary>
-        /// <param name="array">The 2D array to create this matrix from.</param>
         public SparseMatrix(Complex[,] array)
             : this(array.GetLength(0), array.GetLength(1))
         {
@@ -177,10 +173,10 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseMatrix"/> class, copying
+        /// Create a new sparse matrix as a copy of the given other matrix.
-        /// the values from the given matrix.
+        /// This new matrix will be independent from the other matrix.
+        /// A new memory block will be allocated for storing the matrix.
         /// </summary>
-        /// <param name="matrix">The matrix to copy.</param>
         public SparseMatrix(Matrix<Complex> matrix)
             : this(matrix.RowCount, matrix.ColumnCount)
         {

src/Numerics/LinearAlgebra/Complex/SparseVector.cs

@@ -4,7 +4,7 @@
 // http://github.com/mathnet/mathnet-numerics
 // http://mathnetnumerics.codeplex.com
 //
-// Copyright (c) 2009-2011 Math.NET
+// Copyright (c) 2009-2013 Math.NET
 //
 // Permission is hereby granted, free of charge, to any person
 // obtaining a copy of this software and associated documentation
@@ -40,7 +40,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
     using Threading;
 
     /// <summary>
-    /// A vector with sparse storage.
+    /// A vector with sparse storage, intended for very large vectors where most of the cells are zero.
     /// </summary>
     /// <remarks>The sparse vector is not thread safe.</remarks>
     [Serializable]
@@ -59,7 +59,10 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseVector"/> class.
+        /// Create a new sparse vector straight from an initialized vector storage instance.
+        /// The storage is used directly without copying.
+        /// Intended for advanced scenarios where you're working directly with
+        /// storage for performance or interop reasons.
         /// </summary>
         public SparseVector(SparseVectorStorage<Complex> storage)
             : base(storage)
@@ -68,42 +71,32 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseVector"/> class with a given size.
+        /// Create a new sparse vector with the given length.
+        /// All cells of the vector will be initialized to zero.
+        /// Zero-length vectors are not supported.
         /// </summary>
-        /// <param name="size">
+        /// <exception cref="ArgumentException">If length is less than one.</exception>
-        /// the size of the vector.
+        public SparseVector(int length)
-        /// </param>
+            : this(new SparseVectorStorage<Complex>(length))
-        /// <exception cref="ArgumentException">
-        /// If <paramref name="size"/> is less than one.
-        /// </exception>
-        public SparseVector(int size)
-            : this(new SparseVectorStorage<Complex>(size))
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseVector"/> class with a given size
+        /// Create a new sparse vector with the given length.
-        /// and each element set to the given value;
+        /// All cells of the vector will be initialized with the provided value.
+        /// Zero-length vectors are not supported.
         /// </summary>
-        /// <param name="size">
+        /// <exception cref="ArgumentException">If length is less than one.</exception>
-        /// the size of the vector.
-        /// </param>
-        /// <param name="value">
-        /// the value to set each element to.
-        /// </param>
-        /// <exception cref="ArgumentException">
-        /// If <paramref name="size"/> is less than one.
-        /// </exception>
         [Obsolete("Use a dense vector instead. Scheduled for removal in v3.0.")]
-        public SparseVector(int size, Complex value)
+        public SparseVector(int length, Complex value)
-            : this(new SparseVectorStorage<Complex>(size))
+            : this(new SparseVectorStorage<Complex>(length))
         {
             if (value == Complex.Zero)
             {
                 return;
             }
 
-            var valueCount = _storage.ValueCount = size;
+            var valueCount = _storage.ValueCount = length;
             var indices = _storage.Indices = new int[valueCount];
             var values = _storage.Values = new Complex[valueCount];
 
@@ -115,12 +108,10 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseVector"/> class by
+        /// Create a new sparse vector as a copy of the given other vector.
-        /// copying the values from another.
+        /// This new vector will be independent from the other vector.
+        /// A new memory block will be allocated for storing the vector.
         /// </summary>
-        /// <param name="other">
-        /// The vector to create the new vector from.
-        /// </param>
         public SparseVector(Vector<Complex> other)
             : this(new SparseVectorStorage<Complex>(other.Count))
         {
@@ -128,10 +119,10 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseVector"/> class for an array.
+        /// Create a new sparse vector as a copy of the given array.
+        /// This new vector will be independent from the array.
+        /// A new memory block will be allocated for storing the vector.
         /// </summary>
-        /// <param name="array">The array to create this vector from.</param>
-        /// <remarks>The vector copy the array. Any changes to the vector will NOT change the array.</remarks>
         public SparseVector(IList<Complex> array)
             : this(new SparseVectorStorage<Complex>(array.Count))
         {

src/Numerics/LinearAlgebra/Complex32/DenseMatrix.cs

@@ -3,7 +3,9 @@
 // http://numerics.mathdotnet.com
 // http://github.com/mathnet/mathnet-numerics
 // http://mathnetnumerics.codeplex.com
-// Copyright (c) 2009-2010 Math.NET
+//
+// Copyright (c) 2009-2013 Math.NET
+//
 // Permission is hereby granted, free of charge, to any person
 // obtaining a copy of this software and associated documentation
 // files (the "Software"), to deal in the Software without
@@ -12,8 +14,10 @@
 // copies of the Software, and to permit persons to whom the
 // Software is furnished to do so, subject to the following
 // conditions:
+//
 // The above copyright notice and this permission notice shall be
 // included in all copies or substantial portions of the Software.
+//
 // THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
 // EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
 // OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
@@ -63,7 +67,10 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         readonly Complex32[] _values;
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseMatrix"/> class.
+        /// Create a new dense matrix straight from an initialized matrix storage instance.
+        /// The storage is used directly without copying.
+        /// Intended for advanced scenarios where you're working directly with
+        /// storage for performance or interop reasons.
         /// </summary>
         public DenseMatrix(DenseColumnMajorMatrixStorage<Complex32> storage)
             : base(storage)
@@ -74,41 +81,33 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseMatrix"/> class. This matrix is square with a given size.
+        /// Create a new square dense matrix with the given number of rows and columns.
+        /// All cells of the matrix will be initialized to zero.
+        /// Zero-length matrices are not supported.
         /// </summary>
-        /// <param name="order">the size of the square matrix.</param>
+        /// <exception cref="ArgumentException">If the order is less than one.</exception>
-        /// <exception cref="ArgumentException">
-        /// If <paramref name="order"/> is less than one.
-        /// </exception>
         public DenseMatrix(int order)
             : this(new DenseColumnMajorMatrixStorage<Complex32>(order, order))
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseMatrix"/> class.
+        /// Create a new dense matrix with the given number of rows and columns.
+        /// All cells of the matrix will be initialized to zero.
+        /// Zero-length matrices are not supported.
         /// </summary>
-        /// <param name="rows">
+        /// <exception cref="ArgumentException">If the row or column count is less than one.</exception>
-        /// The number of rows.
-        /// </param>
-        /// <param name="columns">
-        /// The number of columns.
-        /// </param>
         public DenseMatrix(int rows, int columns)
             : this(new DenseColumnMajorMatrixStorage<Complex32>(rows, columns))
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseMatrix"/> class with all entries set to a particular value.
+        /// Create a new dense matrix with the given number of rows and columns.
+        /// All cells of the matrix will be initialized to the provided value.
+        /// Zero-length matrices are not supported.
         /// </summary>
-        /// <param name="rows">
+        /// <exception cref="ArgumentException">If the row or column count is less than one.</exception>
-        /// The number of rows.
-        /// </param>
-        /// <param name="columns">
-        /// The number of columns.
-        /// </param>
-        /// <param name="value">The value which we assign to each element of the matrix.</param>
         public DenseMatrix(int rows, int columns, Complex32 value)
             : this(rows, columns)
         {
@@ -119,22 +118,21 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseMatrix"/> class from a one dimensional array. This constructor
+        /// Create a new dense matrix with the given number of rows and columns directly binding to a raw array.
-        /// will reference the one dimensional array and not copy it.
+        /// The array is assumed to be in column-major order and is used directly without copying.
+        /// Very efficient, but changes to the array and the matrix will affect each other.
         /// </summary>
-        /// <param name="rows">The number of rows.</param>
+        /// <seealso cref="http://en.wikipedia.org/wiki/Row-major_order"/>
-        /// <param name="columns">The number of columns.</param>
+        public DenseMatrix(int rows, int columns, Complex32[] storage)
-        /// <param name="array">The one dimensional array to create this matrix from. This array should store the matrix in column-major order. see: http://en.wikipedia.org/wiki/Row-major_order </param>
+            : this(new DenseColumnMajorMatrixStorage<Complex32>(rows, columns, storage))
-        public DenseMatrix(int rows, int columns, Complex32[] array)
-            : this(new DenseColumnMajorMatrixStorage<Complex32>(rows, columns, array))
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseMatrix"/> class from a 2D array. This constructor
+        /// Create a new dense matrix as a copy of the given two-dimensional array.
-        /// will allocate a completely new memory block for storing the dense matrix.
+        /// This new matrix will be independent from the provided array.
+        /// A new memory block will be allocated for storing the matrix.
         /// </summary>
-        /// <param name="array">The 2D array to create this matrix from.</param>
         public DenseMatrix(Complex32[,] array)
             : this(array.GetLength(0), array.GetLength(1))
         {
@@ -148,10 +146,10 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseMatrix"/> class, copying
+        /// Create a new dense matrix as a copy of the given other matrix.
-        /// the values from the given matrix.
+        /// This new matrix will be independent from the other matrix.
+        /// A new memory block will be allocated for storing the matrix.
         /// </summary>
-        /// <param name="matrix">The matrix to copy.</param>
         public DenseMatrix(Matrix<Complex32> matrix)
             : this(matrix.RowCount, matrix.ColumnCount)
         {

src/Numerics/LinearAlgebra/Complex32/DenseVector.cs

@@ -58,7 +58,10 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         readonly Complex32[] _values;
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseVector"/> class.
+        /// Create a new dense vector straight from an initialized vector storage instance.
+        /// The storage is used directly without copying.
+        /// Intended for advanced scenarios where you're working directly with
+        /// storage for performance or interop reasons.
         /// </summary>
         public DenseVector(DenseVectorStorage<Complex32> storage)
             : base(storage)
@@ -68,34 +71,24 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseVector"/> class with a given size.
+        /// Create a new dense vector with the given length.
+        /// All cells of the vector will be initialized to zero.
+        /// Zero-length vectors are not supported.
         /// </summary>
-        /// <param name="size">
+        /// <exception cref="ArgumentException">If length is less than one.</exception>
-        /// the size of the vector.
+        public DenseVector(int length)
-        /// </param>
+            : this(new DenseVectorStorage<Complex32>(length))
-        /// <exception cref="ArgumentException">
-        /// If <paramref name="size"/> is less than one.
-        /// </exception>
-        public DenseVector(int size)
-            : this(new DenseVectorStorage<Complex32>(size))
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseVector"/> class with a given size
+        /// Create a new dense vector with the given length.
-        /// and each element set to the given value;
+        /// All cells of the vector will be initialized with the provided value.
+        /// Zero-length vectors are not supported.
         /// </summary>
-        /// <param name="size">
+        /// <exception cref="ArgumentException">If length is less than one.</exception>
-        /// the size of the vector.
+        public DenseVector(int length, Complex32 value)
-        /// </param>
+            : this(length)
-        /// <param name="value">
-        /// the value to set each element to.
-        /// </param>
-        /// <exception cref="ArgumentException">
-        /// If <paramref name="size"/> is less than one.
-        /// </exception>
-        public DenseVector(int size, Complex32 value)
-            : this(size)
         {
             for (var index = 0; index < _values.Length; index++)
             {
@@ -104,12 +97,10 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseVector"/> class by
+        /// Create a new dense vector as a copy of the given other vector.
-        /// copying the values from another.
+        /// This new vector will be independent from the other vector.
+        /// A new memory block will be allocated for storing the matrix.
         /// </summary>
-        /// <param name="other">
-        /// The vector to create the new vector from.
-        /// </param>
         public DenseVector(Vector<Complex32> other)
             : this(other.Count)
         {
@@ -117,13 +108,12 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseVector"/> class for an array.
+        /// Create a new dense vector directly binding to a raw array.
+        /// The array is used directly without copying.
+        /// Very efficient, but changes to the array and the vector will affect each other.
         /// </summary>
-        /// <param name="array">The array to create this vector from.</param>
+        public DenseVector(Complex32[] storage)
-        /// <remarks>The vector does not copy the array, but keeps a reference to it. Any
+            : this(new DenseVectorStorage<Complex32>(storage.Length, storage))
-        /// changes to the vector will also change the array.</remarks>
-        public DenseVector(Complex32[] array)
-            : this(new DenseVectorStorage<Complex32>(array.Length, array))
         {
         }
 

src/Numerics/LinearAlgebra/Complex32/DiagonalMatrix.cs

@@ -3,7 +3,9 @@
 // http://numerics.mathdotnet.com
 // http://github.com/mathnet/mathnet-numerics
 // http://mathnetnumerics.codeplex.com
-// Copyright (c) 2009-2010 Math.NET
+//
+// Copyright (c) 2009-2013 Math.NET
+//
 // Permission is hereby granted, free of charge, to any person
 // obtaining a copy of this software and associated documentation
 // files (the "Software"), to deal in the Software without
@@ -12,8 +14,10 @@
 // copies of the Software, and to permit persons to whom the
 // Software is furnished to do so, subject to the following
 // conditions:
+//
 // The above copyright notice and this permission notice shall be
 // included in all copies or substantial portions of the Software.
+//
 // THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
 // EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
 // OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
@@ -56,7 +60,10 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         readonly Complex32[] _data;
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DiagonalMatrix"/> class.
+        /// Create a new diagonal matrix straight from an initialized matrix storage instance.
+        /// The storage is used directly without copying.
+        /// Intended for advanced scenarios where you're working directly with
+        /// storage for performance or interop reasons.
         /// </summary>
         public DiagonalMatrix(DiagonalMatrixStorage<Complex32> storage)
             : base(storage)
@@ -66,69 +73,58 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DiagonalMatrix"/> class. This matrix is square with a given size.
+        /// Create a new square diagonal matrix with the given number of rows and columns.
+        /// All cells of the matrix will be initialized to zero.
+        /// Zero-length matrices are not supported.
         /// </summary>
-        /// <param name="order">the size of the square matrix.</param>
+        /// <exception cref="ArgumentException">If the order is less than one.</exception>
-        /// <exception cref="ArgumentException">
-        /// If <paramref name="order"/> is less than one.
-        /// </exception>
         public DiagonalMatrix(int order)
             : this(new DiagonalMatrixStorage<Complex32>(order, order))
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DiagonalMatrix"/> class.
+        /// Create a new diagonal matrix with the given number of rows and columns.
+        /// All cells of the matrix will be initialized to zero.
+        /// Zero-length matrices are not supported.
         /// </summary>
-        /// <param name="rows">
+        /// <exception cref="ArgumentException">If the row or column count is less than one.</exception>
-        /// The number of rows.
-        /// </param>
-        /// <param name="columns">
-        /// The number of columns.
-        /// </param>
         public DiagonalMatrix(int rows, int columns)
             : this(new DiagonalMatrixStorage<Complex32>(rows, columns))
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DiagonalMatrix"/> class with all diagonal entries set to a particular value.
+        /// Create a new diagonal matrix with the given number of rows and columns.
+        /// All diagonal cells of the matrix will be initialized to the provided value, all non-diagonal ones to zero.
+        /// Zero-length matrices are not supported.
         /// </summary>
-        /// <param name="rows">
+        /// <exception cref="ArgumentException">If the row or column count is less than one.</exception>
-        /// The number of rows.
+        public DiagonalMatrix(int rows, int columns, Complex32 diagonalValue)
-        /// </param>
-        /// <param name="columns">
-        /// The number of columns.
-        /// </param>
-        /// <param name="value">The value which we assign to each diagonal element of the matrix.</param>
-        public DiagonalMatrix(int rows, int columns, Complex32 value)
             : this(rows, columns)
         {
             for (var i = 0; i < _data.Length; i++)
             {
-                _data[i] = value;
+                _data[i] = diagonalValue;
             }
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DiagonalMatrix"/> class from a one dimensional array with diagonal elements. This constructor
+        /// Create a new diagonal matrix with the given number of rows and columns directly binding to a raw array.
-        /// will reference the one dimensional array and not copy it.
+        /// The array is assumed to contain the diagonal elements only and is used directly without copying.
+        /// Very efficient, but changes to the array and the matrix will affect each other.
         /// </summary>
-        /// <param name="rows">The number of rows.</param>
+        public DiagonalMatrix(int rows, int columns, Complex32[] diagonalStorage)
-        /// <param name="columns">The number of columns.</param>
+            : this(new DiagonalMatrixStorage<Complex32>(rows, columns, diagonalStorage))
-        /// <param name="diagonalArray">The one dimensional array which contain diagonal elements.</param>
-        public DiagonalMatrix(int rows, int columns, Complex32[] diagonalArray)
-            : this(new DiagonalMatrixStorage<Complex32>(rows, columns, diagonalArray))
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DiagonalMatrix"/> class from a 2D array.
+        /// Create a new diagonal matrix as a copy of the given two-dimensional array.
+        /// This new matrix will be independent from the provided array.
+        /// The array to copy from must be diagonal as well.
+        /// A new memory block will be allocated for storing the matrix.
         /// </summary>
-        /// <param name="array">The 2D array to create this matrix from.</param>
-        /// <exception cref="IndexOutOfRangeException">When <paramref name="array"/> contains an off-diagonal element.</exception>
-        /// <exception cref="IndexOutOfRangeException">Depending on the implementation, an <see cref="IndexOutOfRangeException"/>
-        /// may be thrown if one of the indices is outside the dimensions of the matrix.</exception>
         public DiagonalMatrix(Complex32[,] array)
             : this(array.GetLength(0), array.GetLength(1))
         {
@@ -149,10 +145,11 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DiagonalMatrix"/> class, copying
+        /// Create a new diagonal matrix as a copy of the given other matrix.
-        /// the values from the given matrix.
+        /// This new matrix will be independent from the other matrix.
+        /// The matrix to copy from must be diagonal as well.
+        /// A new memory block will be allocated for storing the matrix.
         /// </summary>
-        /// <param name="matrix">The matrix to copy.</param>
         public DiagonalMatrix(Matrix<Complex32> matrix)
             : this(matrix.RowCount, matrix.ColumnCount)
         {

src/Numerics/LinearAlgebra/Complex32/Matrix.cs

@@ -3,7 +3,9 @@
 // http://numerics.mathdotnet.com
 // http://github.com/mathnet/mathnet-numerics
 // http://mathnetnumerics.codeplex.com
-// Copyright (c) 2009-2010 Math.NET
+//
+// Copyright (c) 2009-2013 Math.NET
+//
 // Permission is hereby granted, free of charge, to any person
 // obtaining a copy of this software and associated documentation
 // files (the "Software"), to deal in the Software without
@@ -12,8 +14,10 @@
 // copies of the Software, and to permit persons to whom the
 // Software is furnished to do so, subject to the following
 // conditions:
+//
 // The above copyright notice and this permission notice shall be
 // included in all copies or substantial portions of the Software.
+//
 // THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
 // EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
 // OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND

src/Numerics/LinearAlgebra/Complex32/SparseMatrix.cs

@@ -4,7 +4,7 @@
 // http://github.com/mathnet/mathnet-numerics
 // http://mathnetnumerics.codeplex.com
 //
-// Copyright (c) 2009-2010 Math.NET
+// Copyright (c) 2009-2013 Math.NET
 //
 // Permission is hereby granted, free of charge, to any person
 // obtaining a copy of this software and associated documentation
@@ -39,7 +39,8 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
     using System.Diagnostics;
 
     /// <summary>
-    /// A Matrix class with sparse storage. The underlying storage scheme is 3-array compressed-sparse-row (CSR) Format.
+    /// A Matrix with sparse storage, intended for very large matrices where most of the cells are zero.
+    /// The underlying storage scheme is 3-array compressed-sparse-row (CSR) Format.
     /// <a href="http://en.wikipedia.org/wiki/Sparse_matrix#Compressed_sparse_row_.28CSR_or_CRS.29">Wikipedia - CSR</a>.
     /// </summary>
     [Serializable]
@@ -58,7 +59,10 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseMatrix"/> class.
+        /// Create a new sparse matrix straight from an initialized matrix storage instance.
+        /// The storage is used directly without copying.
+        /// Intended for advanced scenarios where you're working directly with
+        /// storage for performance or interop reasons.
         /// </summary>
         public SparseMatrix(SparseCompressedRowMatrixStorage<Complex32> storage)
             : base(storage)
@@ -67,41 +71,33 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseMatrix"/> class.
+        /// Create a new sparse matrix with the given number of rows and columns.
+        /// All cells of the matrix will be initialized to zero.
+        /// Zero-length matrices are not supported.
         /// </summary>
-        /// <param name="rows">
+        /// <exception cref="ArgumentException">If the row or column count is less than one.</exception>
-        /// The number of rows.
-        /// </param>
-        /// <param name="columns">
-        /// The number of columns.
-        /// </param>
         public SparseMatrix(int rows, int columns)
             : this(new SparseCompressedRowMatrixStorage<Complex32>(rows, columns))
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseMatrix"/> class. This matrix is square with a given size.
+        /// Create a new square sparse matrix with the given number of rows and columns.
+        /// All cells of the matrix will be initialized to zero.
+        /// Zero-length matrices are not supported.
         /// </summary>
-        /// <param name="order">the size of the square matrix.</param>
+        /// <exception cref="ArgumentException">If the order is less than one.</exception>
-        /// <exception cref="ArgumentException">
-        /// If <paramref name="order"/> is less than one.
-        /// </exception>
         public SparseMatrix(int order)
             : this(order, order)
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseMatrix"/> class with all entries set to a particular value.
+        /// Create a new sparse matrix with the given number of rows and columns.
+        /// All cells of the matrix will be initialized to the provided value.
+        /// Zero-length matrices are not supported.
         /// </summary>
-        /// <param name="rows">
+        /// <exception cref="ArgumentException">If the row or column count is less than one.</exception>
-        /// The number of rows.
-        /// </param>
-        /// <param name="columns">
-        /// The number of columns.
-        /// </param>
-        /// <param name="value">The value which we assign to each element of the matrix.</param>
         [Obsolete("Use a dense matrix instead. Scheduled for removal in v3.0.")]
         public SparseMatrix(int rows, int columns, Complex32 value)
             : this(rows, columns)
@@ -136,13 +132,12 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseMatrix"/> class from a one dimensional array.
+        /// Create a new sparse matrix with the given number of rows and columns as a copy of the given array.
+        /// The array is assumed to be in column-major order.
+        /// This new matrix will be independent from the provided array.
+        /// A new memory block will be allocated for storing the matrix.
         /// </summary>
-        /// <param name="rows">The number of rows.</param>
+        /// <seealso cref="http://en.wikipedia.org/wiki/Row-major_order"/>
-        /// <param name="columns">The number of columns.</param>
-        /// <param name="array">The one dimensional array to create this matrix from. This array should store the matrix in column-major order. see: http://en.wikipedia.org/wiki/Column-major_order </param>
-        /// <exception cref="ArgumentOutOfRangeException">If <paramref name="array"/> length is less than <paramref name="rows"/> * <paramref name="columns"/>.
-        /// </exception>
         public SparseMatrix(int rows, int columns, Complex32[] array)
             : this(rows, columns)
         {
@@ -161,9 +156,10 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseMatrix"/> class from a 2D array.
+        /// Create a new sparse matrix as a copy of the given two-dimensional array.
+        /// This new matrix will be independent from the provided array.
+        /// A new memory block will be allocated for storing the matrix.
         /// </summary>
-        /// <param name="array">The 2D array to create this matrix from.</param>
         public SparseMatrix(Complex32[,] array)
             : this(array.GetLength(0), array.GetLength(1))
         {
@@ -177,10 +173,10 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseMatrix"/> class, copying
+        /// Create a new sparse matrix as a copy of the given other matrix.
-        /// the values from the given matrix.
+        /// This new matrix will be independent from the other matrix.
+        /// A new memory block will be allocated for storing the matrix.
         /// </summary>
-        /// <param name="matrix">The matrix  to copy.</param>
         public SparseMatrix(Matrix<Complex32> matrix)
             : this(matrix.RowCount, matrix.ColumnCount)
         {

src/Numerics/LinearAlgebra/Complex32/SparseVector.cs

@@ -4,7 +4,7 @@
 // http://github.com/mathnet/mathnet-numerics
 // http://mathnetnumerics.codeplex.com
 //
-// Copyright (c) 2009-2011 Math.NET
+// Copyright (c) 2009-2013 Math.NET
 //
 // Permission is hereby granted, free of charge, to any person
 // obtaining a copy of this software and associated documentation
@@ -40,7 +40,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
     using Threading;
 
     /// <summary>
-    /// A vector with sparse storage.
+    /// A vector with sparse storage, intended for very large vectors where most of the cells are zero.
     /// </summary>
     /// <remarks>The sparse vector is not thread safe.</remarks>
     [Serializable]
@@ -59,7 +59,10 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseVector"/> class.
+        /// Create a new sparse vector straight from an initialized vector storage instance.
+        /// The storage is used directly without copying.
+        /// Intended for advanced scenarios where you're working directly with
+        /// storage for performance or interop reasons.
         /// </summary>
         public SparseVector(SparseVectorStorage<Complex32> storage)
             : base(storage)
@@ -68,42 +71,32 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseVector"/> class with a given size.
+        /// Create a new sparse vector with the given length.
+        /// All cells of the vector will be initialized to zero.
+        /// Zero-length vectors are not supported.
         /// </summary>
-        /// <param name="size">
+        /// <exception cref="ArgumentException">If length is less than one.</exception>
-        /// the size of the vector.
+        public SparseVector(int length)
-        /// </param>
+            : this(new SparseVectorStorage<Complex32>(length))
-        /// <exception cref="ArgumentException">
-        /// If <paramref name="size"/> is less than one.
-        /// </exception>
-        public SparseVector(int size)
-            : this(new SparseVectorStorage<Complex32>(size))
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseVector"/> class with a given size
+        /// Create a new sparse vector with the given length.
-        /// and each element set to the given value;
+        /// All cells of the vector will be initialized with the provided value.
+        /// Zero-length vectors are not supported.
         /// </summary>
-        /// <param name="size">
+        /// <exception cref="ArgumentException">If length is less than one.</exception>
-        /// the size of the vector.
-        /// </param>
-        /// <param name="value">
-        /// the value to set each element to.
-        /// </param>
-        /// <exception cref="ArgumentException">
-        /// If <paramref name="size"/> is less than one.
-        /// </exception>
         [Obsolete("Use a dense vector instead. Scheduled for removal in v3.0.")]
-        public SparseVector(int size, Complex32 value)
+        public SparseVector(int length, Complex32 value)
-            : this(new SparseVectorStorage<Complex32>(size))
+            : this(new SparseVectorStorage<Complex32>(length))
         {
             if (value == Complex32.Zero)
             {
                 return;
             }
 
-            var valueCount = _storage.ValueCount = size;
+            var valueCount = _storage.ValueCount = length;
             var indices = _storage.Indices = new int[valueCount];
             var values = _storage.Values = new Complex32[valueCount];
 
@@ -115,12 +108,10 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseVector"/> class by
+        /// Create a new sparse vector as a copy of the given other vector.
-        /// copying the values from another.
+        /// This new vector will be independent from the other vector.
+        /// A new memory block will be allocated for storing the vector.
         /// </summary>
-        /// <param name="other">
-        /// The vector to create the new vector from.
-        /// </param>
         public SparseVector(Vector<Complex32> other)
             : this(new SparseVectorStorage<Complex32>(other.Count))
         {
@@ -128,10 +119,10 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseVector"/> class for an array.
+        /// Create a new sparse vector as a copy of the given array.
+        /// This new vector will be independent from the array.
+        /// A new memory block will be allocated for storing the vector.
         /// </summary>
-        /// <param name="array">The array to create this vector from.</param>
-        /// <remarks>The vector copy the array. Any changes to the vector will NOT change the array.</remarks>
         public SparseVector(IList<Complex32> array)
             : this(new SparseVectorStorage<Complex32>(array.Count))
         {

src/Numerics/LinearAlgebra/Double/DenseMatrix.cs

@@ -3,7 +3,9 @@
 // http://numerics.mathdotnet.com
 // http://github.com/mathnet/mathnet-numerics
 // http://mathnetnumerics.codeplex.com
-// Copyright (c) 2009-2010 Math.NET
+//
+// Copyright (c) 2009-2013 Math.NET
+//
 // Permission is hereby granted, free of charge, to any person
 // obtaining a copy of this software and associated documentation
 // files (the "Software"), to deal in the Software without
@@ -12,8 +14,10 @@
 // copies of the Software, and to permit persons to whom the
 // Software is furnished to do so, subject to the following
 // conditions:
+//
 // The above copyright notice and this permission notice shall be
 // included in all copies or substantial portions of the Software.
+//
 // THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
 // EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
 // OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
@@ -63,7 +67,10 @@ namespace MathNet.Numerics.LinearAlgebra.Double
         readonly double[] _values;
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseMatrix"/> class.
+        /// Create a new dense matrix straight from an initialized matrix storage instance.
+        /// The storage is used directly without copying.
+        /// Intended for advanced scenarios where you're working directly with
+        /// storage for performance or interop reasons.
         /// </summary>
         public DenseMatrix(DenseColumnMajorMatrixStorage<double> storage)
             : base(storage)
@@ -74,41 +81,33 @@ namespace MathNet.Numerics.LinearAlgebra.Double
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseMatrix"/> class. This matrix is square with a given size.
+        /// Create a new square dense matrix with the given number of rows and columns.
+        /// All cells of the matrix will be initialized to zero.
+        /// Zero-length matrices are not supported.
         /// </summary>
-        /// <param name="order">the size of the square matrix.</param>
+        /// <exception cref="ArgumentException">If the order is less than one.</exception>
-        /// <exception cref="ArgumentException">
-        /// If <paramref name="order"/> is less than one.
-        /// </exception>
         public DenseMatrix(int order)
             : this(new DenseColumnMajorMatrixStorage<double>(order, order))
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseMatrix"/> class.
+        /// Create a new dense matrix with the given number of rows and columns.
+        /// All cells of the matrix will be initialized to zero.
+        /// Zero-length matrices are not supported.
         /// </summary>
-        /// <param name="rows">
+        /// <exception cref="ArgumentException">If the row or column count is less than one.</exception>
-        /// The number of rows.
-        /// </param>
-        /// <param name="columns">
-        /// The number of columns.
-        /// </param>
         public DenseMatrix(int rows, int columns)
             : this(new DenseColumnMajorMatrixStorage<double>(rows, columns))
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseMatrix"/> class with all entries set to a particular value.
+        /// Create a new dense matrix with the given number of rows and columns.
+        /// All cells of the matrix will be initialized to the provided value.
+        /// Zero-length matrices are not supported.
         /// </summary>
-        /// <param name="rows">
+        /// <exception cref="ArgumentException">If the row or column count is less than one.</exception>
-        /// The number of rows.
-        /// </param>
-        /// <param name="columns">
-        /// The number of columns.
-        /// </param>
-        /// <param name="value">The value which we assign to each element of the matrix.</param>
         public DenseMatrix(int rows, int columns, double value)
             : this(rows, columns)
         {
@@ -119,22 +118,21 @@ namespace MathNet.Numerics.LinearAlgebra.Double
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseMatrix"/> class from a one dimensional array. This constructor
+        /// Create a new dense matrix with the given number of rows and columns directly binding to a raw array.
-        /// will reference the one dimensional array and not copy it.
+        /// The array is assumed to be in column-major order and is used directly without copying.
+        /// Very efficient, but changes to the array and the matrix will affect each other.
         /// </summary>
-        /// <param name="rows">The number of rows.</param>
+        /// <seealso cref="http://en.wikipedia.org/wiki/Row-major_order"/>
-        /// <param name="columns">The number of columns.</param>
+        public DenseMatrix(int rows, int columns, double[] storage)
-        /// <param name="array">The one dimensional array to create this matrix from. This array should store the matrix in column-major order. see: http://en.wikipedia.org/wiki/Row-major_order </param>
+            : this(new DenseColumnMajorMatrixStorage<double>(rows, columns, storage))
-        public DenseMatrix(int rows, int columns, double[] array)
-            : this(new DenseColumnMajorMatrixStorage<double>(rows, columns, array))
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseMatrix"/> class from a 2D array. This constructor
+        /// Create a new dense matrix as a copy of the given two-dimensional array.
-        /// will allocate a completely new memory block for storing the dense matrix.
+        /// This new matrix will be independent from the provided array.
+        /// A new memory block will be allocated for storing the matrix.
         /// </summary>
-        /// <param name="array">The 2D array to create this matrix from.</param>
         public DenseMatrix(double[,] array)
             : this(array.GetLength(0), array.GetLength(1))
         {
@@ -148,10 +146,10 @@ namespace MathNet.Numerics.LinearAlgebra.Double
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseMatrix"/> class, copying
+        /// Create a new dense matrix as a copy of the given other matrix.
-        /// the values from the given matrix.
+        /// This new matrix will be independent from the other matrix.
+        /// A new memory block will be allocated for storing the matrix.
         /// </summary>
-        /// <param name="matrix">The matrix to copy.</param>
         public DenseMatrix(Matrix<double> matrix)
             : this(matrix.RowCount, matrix.ColumnCount)
         {

src/Numerics/LinearAlgebra/Double/DenseVector.cs

@@ -58,7 +58,10 @@ namespace MathNet.Numerics.LinearAlgebra.Double
         readonly double[] _values;
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseVector"/> class.
+        /// Create a new dense vector straight from an initialized vector storage instance.
+        /// The storage is used directly without copying.
+        /// Intended for advanced scenarios where you're working directly with
+        /// storage for performance or interop reasons.
         /// </summary>
         public DenseVector(DenseVectorStorage<double> storage)
             : base(storage)
@@ -68,34 +71,24 @@ namespace MathNet.Numerics.LinearAlgebra.Double
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseVector"/> class with a given size.
+        /// Create a new dense vector with the given length.
+        /// All cells of the vector will be initialized to zero.
+        /// Zero-length vectors are not supported.
         /// </summary>
-        /// <param name="size">
+        /// <exception cref="ArgumentException">If length is less than one.</exception>
-        /// the size of the vector.
+        public DenseVector(int length)
-        /// </param>
+            : this(new DenseVectorStorage<double>(length))
-        /// <exception cref="ArgumentException">
-        /// If <paramref name="size"/> is less than one.
-        /// </exception>
-        public DenseVector(int size)
-            : this(new DenseVectorStorage<double>(size))
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseVector"/> class with a given size
+        /// Create a new dense vector with the given length.
-        /// and each element set to the given value;
+        /// All cells of the vector will be initialized with the provided value.
+        /// Zero-length vectors are not supported.
         /// </summary>
-        /// <param name="size">
+        /// <exception cref="ArgumentException">If length is less than one.</exception>
-        /// the size of the vector.
+        public DenseVector(int length, double value)
-        /// </param>
+            : this(length)
-        /// <param name="value">
-        /// the value to set each element to.
-        /// </param>
-        /// <exception cref="ArgumentException">
-        /// If <paramref name="size"/> is less than one.
-        /// </exception>
-        public DenseVector(int size, double value)
-            : this(size)
         {
             for (var index = 0; index < _values.Length; index++)
             {
@@ -104,12 +97,10 @@ namespace MathNet.Numerics.LinearAlgebra.Double
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseVector"/> class by
+        /// Create a new dense vector as a copy of the given other vector.
-        /// copying the values from another.
+        /// This new vector will be independent from the other vector.
+        /// A new memory block will be allocated for storing the matrix.
         /// </summary>
-        /// <param name="other">
-        /// The vector to create the new vector from.
-        /// </param>
         public DenseVector(Vector<double> other)
             : this(other.Count)
         {
@@ -117,13 +108,12 @@ namespace MathNet.Numerics.LinearAlgebra.Double
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseVector"/> class for an array.
+        /// Create a new dense vector directly binding to a raw array.
+        /// The array is used directly without copying.
+        /// Very efficient, but changes to the array and the vector will affect each other.
         /// </summary>
-        /// <param name="array">The array to create this vector from.</param>
+        public DenseVector(double[] storage)
-        /// <remarks>The vector does not copy the array, but keeps a reference to it. Any
+            : this(new DenseVectorStorage<double>(storage.Length, storage))
-        /// changes to the vector will also change the array.</remarks>
-        public DenseVector(double[] array)
-            : this(new DenseVectorStorage<double>(array.Length, array))
         {
         }
 

src/Numerics/LinearAlgebra/Double/DiagonalMatrix.cs

@@ -3,7 +3,9 @@
 // http://numerics.mathdotnet.com
 // http://github.com/mathnet/mathnet-numerics
 // http://mathnetnumerics.codeplex.com
-// Copyright (c) 2009-2010 Math.NET
+//
+// Copyright (c) 2009-2013 Math.NET
+//
 // Permission is hereby granted, free of charge, to any person
 // obtaining a copy of this software and associated documentation
 // files (the "Software"), to deal in the Software without
@@ -12,8 +14,10 @@
 // copies of the Software, and to permit persons to whom the
 // Software is furnished to do so, subject to the following
 // conditions:
+//
 // The above copyright notice and this permission notice shall be
 // included in all copies or substantial portions of the Software.
+//
 // THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
 // EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
 // OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
@@ -55,7 +59,10 @@ namespace MathNet.Numerics.LinearAlgebra.Double
         readonly double[] _data;
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DiagonalMatrix"/> class.
+        /// Create a new diagonal matrix straight from an initialized matrix storage instance.
+        /// The storage is used directly without copying.
+        /// Intended for advanced scenarios where you're working directly with
+        /// storage for performance or interop reasons.
         /// </summary>
         public DiagonalMatrix(DiagonalMatrixStorage<double> storage)
             : base(storage)
@@ -64,70 +71,59 @@ namespace MathNet.Numerics.LinearAlgebra.Double
             _data = _storage.Data;
         }
 
-         /// <summary>
+        /// <summary>
-        /// Initializes a new instance of the <see cref="DiagonalMatrix"/> class. This matrix is square with a given size.
+        /// Create a new square diagonal matrix with the given number of rows and columns.
+        /// All cells of the matrix will be initialized to zero.
+        /// Zero-length matrices are not supported.
         /// </summary>
-        /// <param name="order">the size of the square matrix.</param>
+        /// <exception cref="ArgumentException">If the order is less than one.</exception>
-        /// <exception cref="ArgumentException">
-        /// If <paramref name="order"/> is less than one.
-        /// </exception>
         public DiagonalMatrix(int order)
             : this(new DiagonalMatrixStorage<double>(order, order))
          {
          }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DiagonalMatrix"/> class.
+        /// Create a new diagonal matrix with the given number of rows and columns.
+        /// All cells of the matrix will be initialized to zero.
+        /// Zero-length matrices are not supported.
         /// </summary>
-        /// <param name="rows">
+        /// <exception cref="ArgumentException">If the row or column count is less than one.</exception>
-        /// The number of rows.
-        /// </param>
-        /// <param name="columns">
-        /// The number of columns.
-        /// </param>
         public DiagonalMatrix(int rows, int columns)
             : this(new DiagonalMatrixStorage<double>(rows, columns))
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DiagonalMatrix"/> class with all diagonal entries set to a particular value.
+        /// Create a new diagonal matrix with the given number of rows and columns.
+        /// All diagonal cells of the matrix will be initialized to the provided value, all non-diagonal ones to zero.
+        /// Zero-length matrices are not supported.
         /// </summary>
-        /// <param name="rows">
+        /// <exception cref="ArgumentException">If the row or column count is less than one.</exception>
-        /// The number of rows.
+        public DiagonalMatrix(int rows, int columns, double diagonalValue)
-        /// </param>
-        /// <param name="columns">
-        /// The number of columns.
-        /// </param>
-        /// <param name="value">The value which we assign to each diagonal element of the matrix.</param>
-        public DiagonalMatrix(int rows, int columns, double value)
             : this(rows, columns)
         {
             for (var i = 0; i < _data.Length; i++)
             {
-                _data[i] = value;
+                _data[i] = diagonalValue;
             }
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DiagonalMatrix"/> class from a one dimensional array with diagonal elements. This constructor
+        /// Create a new diagonal matrix with the given number of rows and columns directly binding to a raw array.
-        /// will reference the one dimensional array and not copy it.
+        /// The array is assumed to contain the diagonal elements only and is used directly without copying.
+        /// Very efficient, but changes to the array and the matrix will affect each other.
         /// </summary>
-        /// <param name="rows">The number of rows.</param>
+        public DiagonalMatrix(int rows, int columns, double[] diagonalStorage)
-        /// <param name="columns">The number of columns.</param>
+            : this(new DiagonalMatrixStorage<double>(rows, columns, diagonalStorage))
-        /// <param name="diagonalArray">The one dimensional array which contain diagonal elements.</param>
-        public DiagonalMatrix(int rows, int columns, double[] diagonalArray)
-            : this(new DiagonalMatrixStorage<double>(rows, columns, diagonalArray))
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DiagonalMatrix"/> class from a 2D array.
+        /// Create a new diagonal matrix as a copy of the given two-dimensional array.
+        /// This new matrix will be independent from the provided array.
+        /// The array to copy from must be diagonal as well.
+        /// A new memory block will be allocated for storing the matrix.
         /// </summary>
-        /// <param name="array">The 2D array to create this matrix from.</param>
-        /// <exception cref="IndexOutOfRangeException">When <paramref name="array"/> contains an off-diagonal element.</exception>
-        /// <exception cref="IndexOutOfRangeException">Depending on the implementation, an <see cref="IndexOutOfRangeException"/>
-        /// may be thrown if one of the indices is outside the dimensions of the matrix.</exception>
         public DiagonalMatrix(double[,] array)
             : this(array.GetLength(0), array.GetLength(1))
         {
@@ -148,10 +144,11 @@ namespace MathNet.Numerics.LinearAlgebra.Double
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DiagonalMatrix"/> class, copying
+        /// Create a new diagonal matrix as a copy of the given other matrix.
-        /// the values from the given matrix.
+        /// This new matrix will be independent from the other matrix.
+        /// The matrix to copy from must be diagonal as well.
+        /// A new memory block will be allocated for storing the matrix.
         /// </summary>
-        /// <param name="matrix">The matrix to copy.</param>
         public DiagonalMatrix(Matrix<double> matrix)
             : this(matrix.RowCount, matrix.ColumnCount)
         {

src/Numerics/LinearAlgebra/Double/SparseMatrix.cs

@@ -4,7 +4,7 @@
 // http://github.com/mathnet/mathnet-numerics
 // http://mathnetnumerics.codeplex.com
 //
-// Copyright (c) 2009-2010 Math.NET
+// Copyright (c) 2009-2013 Math.NET
 //
 // Permission is hereby granted, free of charge, to any person
 // obtaining a copy of this software and associated documentation
@@ -38,7 +38,8 @@ namespace MathNet.Numerics.LinearAlgebra.Double
     using System.Diagnostics;
 
     /// <summary>
-    /// A Matrix class with sparse storage. The underlying storage scheme is 3-array compressed-sparse-row (CSR) Format.
+    /// A Matrix with sparse storage, intended for very large matrices where most of the cells are zero.
+    /// The underlying storage scheme is 3-array compressed-sparse-row (CSR) Format.
     /// <a href="http://en.wikipedia.org/wiki/Sparse_matrix#Compressed_sparse_row_.28CSR_or_CRS.29">Wikipedia - CSR</a>.
     /// </summary>
     [Serializable]
@@ -57,7 +58,10 @@ namespace MathNet.Numerics.LinearAlgebra.Double
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseMatrix"/> class.
+        /// Create a new sparse matrix straight from an initialized matrix storage instance.
+        /// The storage is used directly without copying.
+        /// Intended for advanced scenarios where you're working directly with
+        /// storage for performance or interop reasons.
         /// </summary>
         public SparseMatrix(SparseCompressedRowMatrixStorage<double> storage)
             : base(storage)
@@ -66,41 +70,33 @@ namespace MathNet.Numerics.LinearAlgebra.Double
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseMatrix"/> class.
+        /// Create a new sparse matrix with the given number of rows and columns.
+        /// All cells of the matrix will be initialized to zero.
+        /// Zero-length matrices are not supported.
         /// </summary>
-        /// <param name="rows">
+        /// <exception cref="ArgumentException">If the row or column count is less than one.</exception>
-        /// The number of rows.
-        /// </param>
-        /// <param name="columns">
-        /// The number of columns.
-        /// </param>
         public SparseMatrix(int rows, int columns)
             : this(new SparseCompressedRowMatrixStorage<double>(rows, columns))
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseMatrix"/> class. This matrix is square with a given size.
+        /// Create a new square sparse matrix with the given number of rows and columns.
+        /// All cells of the matrix will be initialized to zero.
+        /// Zero-length matrices are not supported.
         /// </summary>
-        /// <param name="order">the size of the square matrix.</param>
+        /// <exception cref="ArgumentException">If the order is less than one.</exception>
-        /// <exception cref="ArgumentException">
-        /// If <paramref name="order"/> is less than one.
-        /// </exception>
         public SparseMatrix(int order)
             : this(order, order)
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseMatrix"/> class with all entries set to a particular value.
+        /// Create a new sparse matrix with the given number of rows and columns.
+        /// All cells of the matrix will be initialized to the provided value.
+        /// Zero-length matrices are not supported.
         /// </summary>
-        /// <param name="rows">
+        /// <exception cref="ArgumentException">If the row or column count is less than one.</exception>
-        /// The number of rows.
-        /// </param>
-        /// <param name="columns">
-        /// The number of columns.
-        /// </param>
-        /// <param name="value">The value which we assign to each element of the matrix.</param>
         [Obsolete("Use a dense matrix instead. Scheduled for removal in v3.0.")]
         public SparseMatrix(int rows, int columns, double value)
             : this(rows, columns)
@@ -135,13 +131,12 @@ namespace MathNet.Numerics.LinearAlgebra.Double
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseMatrix"/> class from a one dimensional array.
+        /// Create a new sparse matrix with the given number of rows and columns as a copy of the given array.
+        /// The array is assumed to be in column-major order.
+        /// This new matrix will be independent from the provided array.
+        /// A new memory block will be allocated for storing the matrix.
         /// </summary>
-        /// <param name="rows">The number of rows.</param>
+        /// <seealso cref="http://en.wikipedia.org/wiki/Row-major_order"/>
-        /// <param name="columns">The number of columns.</param>
-        /// <param name="array">The one dimensional array to create this matrix from. This array should store the matrix in column-major order. see: http://en.wikipedia.org/wiki/Column-major_order </param>
-        /// <exception cref="ArgumentOutOfRangeException">If <paramref name="array"/> length is less than <paramref name="rows"/> * <paramref name="columns"/>.
-        /// </exception>
         public SparseMatrix(int rows, int columns, double[] array)
             : this(rows, columns)
         {
@@ -160,9 +155,10 @@ namespace MathNet.Numerics.LinearAlgebra.Double
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseMatrix"/> class from a 2D array.
+        /// Create a new sparse matrix as a copy of the given two-dimensional array.
+        /// This new matrix will be independent from the provided array.
+        /// A new memory block will be allocated for storing the matrix.
         /// </summary>
-        /// <param name="array">The 2D array to create this matrix from.</param>
         public SparseMatrix(double[,] array)
             : this(array.GetLength(0), array.GetLength(1))
         {
@@ -176,10 +172,10 @@ namespace MathNet.Numerics.LinearAlgebra.Double
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseMatrix"/> class, copying
+        /// Create a new sparse matrix as a copy of the given other matrix.
-        /// the values from the given matrix.
+        /// This new matrix will be independent from the other matrix.
+        /// A new memory block will be allocated for storing the matrix.
         /// </summary>
-        /// <param name="matrix">The matrix to copy.</param>
         public SparseMatrix(Matrix<double> matrix)
             : this(matrix.RowCount, matrix.ColumnCount)
         {

src/Numerics/LinearAlgebra/Double/SparseVector.cs

@@ -4,7 +4,7 @@
 // http://github.com/mathnet/mathnet-numerics
 // http://mathnetnumerics.codeplex.com
 //
-// Copyright (c) 2009-2011 Math.NET
+// Copyright (c) 2009-2013 Math.NET
 //
 // Permission is hereby granted, free of charge, to any person
 // obtaining a copy of this software and associated documentation
@@ -40,7 +40,7 @@ namespace MathNet.Numerics.LinearAlgebra.Double
     using Threading;
 
     /// <summary>
-    /// A vector with sparse storage.
+    /// A vector with sparse storage, intended for very large vectors where most of the cells are zero.
     /// </summary>
     /// <remarks>The sparse vector is not thread safe.</remarks>
     [Serializable]
@@ -59,7 +59,10 @@ namespace MathNet.Numerics.LinearAlgebra.Double
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseVector"/> class.
+        /// Create a new sparse vector straight from an initialized vector storage instance.
+        /// The storage is used directly without copying.
+        /// Intended for advanced scenarios where you're working directly with
+        /// storage for performance or interop reasons.
         /// </summary>
         public SparseVector(SparseVectorStorage<double> storage)
             : base(storage)
@@ -68,42 +71,32 @@ namespace MathNet.Numerics.LinearAlgebra.Double
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseVector"/> class with a given size.
+        /// Create a new sparse vector with the given length.
+        /// All cells of the vector will be initialized to zero.
+        /// Zero-length vectors are not supported.
         /// </summary>
-        /// <param name="size">
+        /// <exception cref="ArgumentException">If length is less than one.</exception>
-        /// the size of the vector.
+        public SparseVector(int length)
-        /// </param>
+            : this(new SparseVectorStorage<double>(length))
-        /// <exception cref="ArgumentException">
-        /// If <paramref name="size"/> is less than one.
-        /// </exception>
-        public SparseVector(int size)
-            : this(new SparseVectorStorage<double>(size))
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseVector"/> class with a given size
+        /// Create a new sparse vector with the given length.
-        /// and each element set to the given value;
+        /// All cells of the vector will be initialized with the provided value.
+        /// Zero-length vectors are not supported.
         /// </summary>
-        /// <param name="size">
+        /// <exception cref="ArgumentException">If length is less than one.</exception>
-        /// the size of the vector.
-        /// </param>
-        /// <param name="value">
-        /// the value to set each element to.
-        /// </param>
-        /// <exception cref="ArgumentException">
-        /// If <paramref name="size"/> is less than one.
-        /// </exception>
         [Obsolete("Use a dense vector instead. Scheduled for removal in v3.0.")]
-        public SparseVector(int size, double value)
+        public SparseVector(int length, double value)
-            : this(new SparseVectorStorage<double>(size))
+            : this(new SparseVectorStorage<double>(length))
         {
             if (value == 0.0)
             {
                 return;
             }
 
-            var valueCount = _storage.ValueCount = size;
+            var valueCount = _storage.ValueCount = length;
             var indices = _storage.Indices = new int[valueCount];
             var values = _storage.Values = new double[valueCount];
 
@@ -115,12 +108,10 @@ namespace MathNet.Numerics.LinearAlgebra.Double
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseVector"/> class by
+        /// Create a new sparse vector as a copy of the given other vector.
-        /// copying the values from another.
+        /// This new vector will be independent from the other vector.
+        /// A new memory block will be allocated for storing the vector.
         /// </summary>
-        /// <param name="other">
-        /// The vector to create the new vector from.
-        /// </param>
         public SparseVector(Vector<double> other)
             : this(new SparseVectorStorage<double>(other.Count))
         {
@@ -128,10 +119,10 @@ namespace MathNet.Numerics.LinearAlgebra.Double
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseVector"/> class for an array.
+        /// Create a new sparse vector as a copy of the given array.
+        /// This new vector will be independent from the array.
+        /// A new memory block will be allocated for storing the vector.
         /// </summary>
-        /// <param name="array">The array to create this vector from.</param>
-        /// <remarks>The vector copy the array. Any changes to the vector will NOT change the array.</remarks>
         public SparseVector(IList<double> array)
             : this(new SparseVectorStorage<double>(array.Count))
         {

src/Numerics/LinearAlgebra/Single/DenseMatrix.cs

@@ -3,7 +3,9 @@
 // http://numerics.mathdotnet.com
 // http://github.com/mathnet/mathnet-numerics
 // http://mathnetnumerics.codeplex.com
-// Copyright (c) 2009-2010 Math.NET
+//
+// Copyright (c) 2009-2013 Math.NET
+//
 // Permission is hereby granted, free of charge, to any person
 // obtaining a copy of this software and associated documentation
 // files (the "Software"), to deal in the Software without
@@ -12,8 +14,10 @@
 // copies of the Software, and to permit persons to whom the
 // Software is furnished to do so, subject to the following
 // conditions:
+//
 // The above copyright notice and this permission notice shall be
 // included in all copies or substantial portions of the Software.
+//
 // THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
 // EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
 // OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
@@ -63,7 +67,10 @@ namespace MathNet.Numerics.LinearAlgebra.Single
         readonly float[] _values;
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseMatrix"/> class.
+        /// Create a new dense matrix straight from an initialized matrix storage instance.
+        /// The storage is used directly without copying.
+        /// Intended for advanced scenarios where you're working directly with
+        /// storage for performance or interop reasons.
         /// </summary>
         public DenseMatrix(DenseColumnMajorMatrixStorage<float> storage)
             : base(storage)
@@ -74,41 +81,33 @@ namespace MathNet.Numerics.LinearAlgebra.Single
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseMatrix"/> class. This matrix is square with a given size.
+        /// Create a new square dense matrix with the given number of rows and columns.
+        /// All cells of the matrix will be initialized to zero.
+        /// Zero-length matrices are not supported.
         /// </summary>
-        /// <param name="order">the size of the square matrix.</param>
+        /// <exception cref="ArgumentException">If the order is less than one.</exception>
-        /// <exception cref="ArgumentException">
-        /// If <paramref name="order"/> is less than one.
-        /// </exception>
         public DenseMatrix(int order)
             : this(new DenseColumnMajorMatrixStorage<float>(order, order))
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseMatrix"/> class.
+        /// Create a new dense matrix with the given number of rows and columns.
+        /// All cells of the matrix will be initialized to zero.
+        /// Zero-length matrices are not supported.
         /// </summary>
-        /// <param name="rows">
+        /// <exception cref="ArgumentException">If the row or column count is less than one.</exception>
-        /// The number of rows.
-        /// </param>
-        /// <param name="columns">
-        /// The number of columns.
-        /// </param>
         public DenseMatrix(int rows, int columns)
             : this(new DenseColumnMajorMatrixStorage<float>(rows, columns))
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseMatrix"/> class with all entries set to a particular value.
+        /// Create a new dense matrix with the given number of rows and columns.
+        /// All cells of the matrix will be initialized to the provided value.
+        /// Zero-length matrices are not supported.
         /// </summary>
-        /// <param name="rows">
+        /// <exception cref="ArgumentException">If the row or column count is less than one.</exception>
-        /// The number of rows.
-        /// </param>
-        /// <param name="columns">
-        /// The number of columns.
-        /// </param>
-        /// <param name="value">The value which we assign to each element of the matrix.</param>
         public DenseMatrix(int rows, int columns, float value)
             : this(rows, columns)
         {
@@ -119,22 +118,21 @@ namespace MathNet.Numerics.LinearAlgebra.Single
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseMatrix"/> class from a one dimensional array. This constructor
+        /// Create a new dense matrix with the given number of rows and columns directly binding to a raw array.
-        /// will reference the one dimensional array and not copy it.
+        /// The array is assumed to be in column-major order and is used directly without copying.
+        /// Very efficient, but changes to the array and the matrix will affect each other.
         /// </summary>
-        /// <param name="rows">The number of rows.</param>
+        /// <seealso cref="http://en.wikipedia.org/wiki/Row-major_order"/>
-        /// <param name="columns">The number of columns.</param>
+        public DenseMatrix(int rows, int columns, float[] storage)
-        /// <param name="array">The one dimensional array to create this matrix from. This array should store the matrix in column-major order. see: http://en.wikipedia.org/wiki/Row-major_order </param>
+            : this(new DenseColumnMajorMatrixStorage<float>(rows, columns, storage))
-        public DenseMatrix(int rows, int columns, float[] array)
-            : this(new DenseColumnMajorMatrixStorage<float>(rows, columns, array))
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseMatrix"/> class from a 2D array. This constructor
+        /// Create a new dense matrix as a copy of the given two-dimensional array.
-        /// will allocate a completely new memory block for storing the dense matrix.
+        /// This new matrix will be independent from the provided array.
+        /// A new memory block will be allocated for storing the matrix.
         /// </summary>
-        /// <param name="array">The 2D array to create this matrix from.</param>
         public DenseMatrix(float[,] array)
             : this(array.GetLength(0), array.GetLength(1))
         {
@@ -148,10 +146,10 @@ namespace MathNet.Numerics.LinearAlgebra.Single
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseMatrix"/> class, copying
+        /// Create a new dense matrix as a copy of the given other matrix.
-        /// the values from the given matrix.
+        /// This new matrix will be independent from the other matrix.
+        /// A new memory block will be allocated for storing the matrix.
         /// </summary>
-        /// <param name="matrix">The matrix to copy.</param>
         public DenseMatrix(Matrix<float> matrix)
             : this(matrix.RowCount, matrix.ColumnCount)
         {

src/Numerics/LinearAlgebra/Single/DenseVector.cs

@@ -57,7 +57,10 @@ namespace MathNet.Numerics.LinearAlgebra.Single
         readonly float[] _values;
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseVector"/> class.
+        /// Create a new dense vector straight from an initialized vector storage instance.
+        /// The storage is used directly without copying.
+        /// Intended for advanced scenarios where you're working directly with
+        /// storage for performance or interop reasons.
         /// </summary>
         public DenseVector(DenseVectorStorage<float> storage)
             : base(storage)
@@ -67,34 +70,24 @@ namespace MathNet.Numerics.LinearAlgebra.Single
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseVector"/> class with a given size.
+        /// Create a new dense vector with the given length.
+        /// All cells of the vector will be initialized to zero.
+        /// Zero-length vectors are not supported.
         /// </summary>
-        /// <param name="size">
+        /// <exception cref="ArgumentException">If length is less than one.</exception>
-        /// the size of the vector.
+        public DenseVector(int length)
-        /// </param>
+            : this(new DenseVectorStorage<float>(length))
-        /// <exception cref="ArgumentException">
-        /// If <paramref name="size"/> is less than one.
-        /// </exception>
-        public DenseVector(int size)
-            : this(new DenseVectorStorage<float>(size))
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseVector"/> class with a given size
+        /// Create a new dense vector with the given length.
-        /// and each element set to the given value;
+        /// All cells of the vector will be initialized with the provided value.
+        /// Zero-length vectors are not supported.
         /// </summary>
-        /// <param name="size">
+        /// <exception cref="ArgumentException">If length is less than one.</exception>
-        /// the size of the vector.
+        public DenseVector(int length, float value)
-        /// </param>
+            : this(length)
-        /// <param name="value">
-        /// the value to set each element to.
-        /// </param>
-        /// <exception cref="ArgumentException">
-        /// If <paramref name="size"/> is less than one.
-        /// </exception>
-        public DenseVector(int size, float value)
-            : this(size)
         {
             for (var index = 0; index < _values.Length; index++)
             {
@@ -103,12 +96,10 @@ namespace MathNet.Numerics.LinearAlgebra.Single
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseVector"/> class by
+        /// Create a new dense vector as a copy of the given other vector.
-        /// copying the values from another.
+        /// This new vector will be independent from the other vector.
+        /// A new memory block will be allocated for storing the matrix.
         /// </summary>
-        /// <param name="other">
-        /// The vector to create the new vector from.
-        /// </param>
         public DenseVector(Vector<float> other)
             : this(other.Count)
         {
@@ -116,13 +107,12 @@ namespace MathNet.Numerics.LinearAlgebra.Single
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseVector"/> class for an array.
+        /// Create a new dense vector directly binding to a raw array.
+        /// The array is used directly without copying.
+        /// Very efficient, but changes to the array and the vector will affect each other.
         /// </summary>
-        /// <param name="array">The array to create this vector from.</param>
+        public DenseVector(float[] storage)
-        /// <remarks>The vector does not copy the array, but keeps a reference to it. Any
+            : this(new DenseVectorStorage<float>(storage.Length, storage))
-        /// changes to the vector will also change the array.</remarks>
-        public DenseVector(float[] array)
-            : this(new DenseVectorStorage<float>(array.Length, array))
         {
         }
 

src/Numerics/LinearAlgebra/Single/DiagonalMatrix.cs

@@ -3,7 +3,9 @@
 // http://numerics.mathdotnet.com
 // http://github.com/mathnet/mathnet-numerics
 // http://mathnetnumerics.codeplex.com
-// Copyright (c) 2009-2010 Math.NET
+//
+// Copyright (c) 2009-2013 Math.NET
+//
 // Permission is hereby granted, free of charge, to any person
 // obtaining a copy of this software and associated documentation
 // files (the "Software"), to deal in the Software without
@@ -12,8 +14,10 @@
 // copies of the Software, and to permit persons to whom the
 // Software is furnished to do so, subject to the following
 // conditions:
+//
 // The above copyright notice and this permission notice shall be
 // included in all copies or substantial portions of the Software.
+//
 // THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
 // EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
 // OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
@@ -55,7 +59,10 @@ namespace MathNet.Numerics.LinearAlgebra.Single
         readonly float[] _data;
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DiagonalMatrix"/> class.
+        /// Create a new diagonal matrix straight from an initialized matrix storage instance.
+        /// The storage is used directly without copying.
+        /// Intended for advanced scenarios where you're working directly with
+        /// storage for performance or interop reasons.
         /// </summary>
         public DiagonalMatrix(DiagonalMatrixStorage<float> storage)
             : base(storage)
@@ -65,69 +72,58 @@ namespace MathNet.Numerics.LinearAlgebra.Single
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DiagonalMatrix"/> class. This matrix is square with a given size.
+        /// Create a new square diagonal matrix with the given number of rows and columns.
+        /// All cells of the matrix will be initialized to zero.
+        /// Zero-length matrices are not supported.
         /// </summary>
-        /// <param name="order">the size of the square matrix.</param>
+        /// <exception cref="ArgumentException">If the order is less than one.</exception>
-        /// <exception cref="ArgumentException">
-        /// If <paramref name="order"/> is less than one.
-        /// </exception>
         public DiagonalMatrix(int order)
             : this(new DiagonalMatrixStorage<float>(order, order))
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DiagonalMatrix"/> class.
+        /// Create a new diagonal matrix with the given number of rows and columns.
+        /// All cells of the matrix will be initialized to zero.
+        /// Zero-length matrices are not supported.
         /// </summary>
-        /// <param name="rows">
+        /// <exception cref="ArgumentException">If the row or column count is less than one.</exception>
-        /// The number of rows.
-        /// </param>
-        /// <param name="columns">
-        /// The number of columns.
-        /// </param>
         public DiagonalMatrix(int rows, int columns)
             : this(new DiagonalMatrixStorage<float>(rows, columns))
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DiagonalMatrix"/> class with all diagonal entries set to a particular value.
+        /// Create a new diagonal matrix with the given number of rows and columns.
+        /// All diagonal cells of the matrix will be initialized to the provided value, all non-diagonal ones to zero.
+        /// Zero-length matrices are not supported.
         /// </summary>
-        /// <param name="rows">
+        /// <exception cref="ArgumentException">If the row or column count is less than one.</exception>
-        /// The number of rows.
+        public DiagonalMatrix(int rows, int columns, float diagonalValue)
-        /// </param>
-        /// <param name="columns">
-        /// The number of columns.
-        /// </param>
-        /// <param name="value">The value which we assign to each diagonal element of the matrix.</param>
-        public DiagonalMatrix(int rows, int columns, float value)
             : this(rows, columns)
         {
             for (var i = 0; i < _data.Length; i++)
             {
-                _data[i] = value;
+                _data[i] = diagonalValue;
             }
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DiagonalMatrix"/> class from a one dimensional array with diagonal elements. This constructor
+        /// Create a new diagonal matrix with the given number of rows and columns directly binding to a raw array.
-        /// will reference the one dimensional array and not copy it.
+        /// The array is assumed to contain the diagonal elements only and is used directly without copying.
+        /// Very efficient, but changes to the array and the matrix will affect each other.
         /// </summary>
-        /// <param name="rows">The number of rows.</param>
+        public DiagonalMatrix(int rows, int columns, float[] diagonalStorage)
-        /// <param name="columns">The number of columns.</param>
+            : this(new DiagonalMatrixStorage<float>(rows, columns, diagonalStorage))
-        /// <param name="diagonalArray">The one dimensional array which contain diagonal elements.</param>
-        public DiagonalMatrix(int rows, int columns, float[] diagonalArray)
-            : this(new DiagonalMatrixStorage<float>(rows, columns, diagonalArray))
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DiagonalMatrix"/> class from a 2D array.
+        /// Create a new diagonal matrix as a copy of the given two-dimensional array.
+        /// This new matrix will be independent from the provided array.
+        /// The array to copy from must be diagonal as well.
+        /// A new memory block will be allocated for storing the matrix.
         /// </summary>
-        /// <param name="array">The 2D array to create this matrix from.</param>
-        /// <exception cref="IndexOutOfRangeException">When <paramref name="array"/> contains an off-diagonal element.</exception>
-        /// <exception cref="IndexOutOfRangeException">Depending on the implementation, an <see cref="IndexOutOfRangeException"/>
-        /// may be thrown if one of the indices is outside the dimensions of the matrix.</exception>
         public DiagonalMatrix(float[,] array)
             : this(array.GetLength(0), array.GetLength(1))
         {
@@ -148,10 +144,11 @@ namespace MathNet.Numerics.LinearAlgebra.Single
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="DiagonalMatrix"/> class, copying
+        /// Create a new diagonal matrix as a copy of the given other matrix.
-        /// the values from the given matrix.
+        /// This new matrix will be independent from the other matrix.
+        /// The matrix to copy from must be diagonal as well.
+        /// A new memory block will be allocated for storing the matrix.
         /// </summary>
-        /// <param name="matrix">The matrix to copy.</param>
         public DiagonalMatrix(Matrix<float> matrix)
             : this(matrix.RowCount, matrix.ColumnCount)
         {

src/Numerics/LinearAlgebra/Single/Matrix.cs

@@ -3,7 +3,9 @@
 // http://numerics.mathdotnet.com
 // http://github.com/mathnet/mathnet-numerics
 // http://mathnetnumerics.codeplex.com
-// Copyright (c) 2009-2010 Math.NET
+//
+// Copyright (c) 2009-2013 Math.NET
+//
 // Permission is hereby granted, free of charge, to any person
 // obtaining a copy of this software and associated documentation
 // files (the "Software"), to deal in the Software without
@@ -12,8 +14,10 @@
 // copies of the Software, and to permit persons to whom the
 // Software is furnished to do so, subject to the following
 // conditions:
+//
 // The above copyright notice and this permission notice shall be
 // included in all copies or substantial portions of the Software.
+//
 // THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
 // EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
 // OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND

src/Numerics/LinearAlgebra/Single/SparseMatrix.cs

@@ -4,7 +4,7 @@
 // http://github.com/mathnet/mathnet-numerics
 // http://mathnetnumerics.codeplex.com
 //
-// Copyright (c) 2009-2010 Math.NET
+// Copyright (c) 2009-2013 Math.NET
 //
 // Permission is hereby granted, free of charge, to any person
 // obtaining a copy of this software and associated documentation
@@ -38,7 +38,8 @@ namespace MathNet.Numerics.LinearAlgebra.Single
     using System.Diagnostics;
 
     /// <summary>
-    /// A Matrix class with sparse storage. The underlying storage scheme is 3-array compressed-sparse-row (CSR) Format.
+    /// A Matrix with sparse storage, intended for very large matrices where most of the cells are zero.
+    /// The underlying storage scheme is 3-array compressed-sparse-row (CSR) Format.
     /// <a href="http://en.wikipedia.org/wiki/Sparse_matrix#Compressed_sparse_row_.28CSR_or_CRS.29">Wikipedia - CSR</a>.
     /// </summary>
     [Serializable]
@@ -57,7 +58,10 @@ namespace MathNet.Numerics.LinearAlgebra.Single
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseMatrix"/> class.
+        /// Create a new sparse matrix straight from an initialized matrix storage instance.
+        /// The storage is used directly without copying.
+        /// Intended for advanced scenarios where you're working directly with
+        /// storage for performance or interop reasons.
         /// </summary>
         public SparseMatrix(SparseCompressedRowMatrixStorage<float> storage)
             : base(storage)
@@ -66,41 +70,33 @@ namespace MathNet.Numerics.LinearAlgebra.Single
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseMatrix"/> class.
+        /// Create a new sparse matrix with the given number of rows and columns.
+        /// All cells of the matrix will be initialized to zero.
+        /// Zero-length matrices are not supported.
         /// </summary>
-        /// <param name="rows">
+        /// <exception cref="ArgumentException">If the row or column count is less than one.</exception>
-        /// The number of rows.
-        /// </param>
-        /// <param name="columns">
-        /// The number of columns.
-        /// </param>
         public SparseMatrix(int rows, int columns)
             : this(new SparseCompressedRowMatrixStorage<float>(rows, columns))
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseMatrix"/> class. This matrix is square with a given size.
+        /// Create a new square sparse matrix with the given number of rows and columns.
+        /// All cells of the matrix will be initialized to zero.
+        /// Zero-length matrices are not supported.
         /// </summary>
-        /// <param name="order">the size of the square matrix.</param>
+        /// <exception cref="ArgumentException">If the order is less than one.</exception>
-        /// <exception cref="ArgumentException">
-        /// If <paramref name="order"/> is less than one.
-        /// </exception>
         public SparseMatrix(int order)
             : this(order, order)
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseMatrix"/> class with all entries set to a particular value.
+        /// Create a new sparse matrix with the given number of rows and columns.
+        /// All cells of the matrix will be initialized to the provided value.
+        /// Zero-length matrices are not supported.
         /// </summary>
-        /// <param name="rows">
+        /// <exception cref="ArgumentException">If the row or column count is less than one.</exception>
-        /// The number of rows.
-        /// </param>
-        /// <param name="columns">
-        /// The number of columns.
-        /// </param>
-        /// <param name="value">The value which we assign to each element of the matrix.</param>
         [Obsolete("Use a dense matrix instead. Scheduled for removal in v3.0.")]
         public SparseMatrix(int rows, int columns, float value)
             : this(rows, columns)
@@ -135,13 +131,12 @@ namespace MathNet.Numerics.LinearAlgebra.Single
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseMatrix"/> class from a one dimensional array.
+        /// Create a new sparse matrix with the given number of rows and columns as a copy of the given array.
+        /// The array is assumed to be in column-major order.
+        /// This new matrix will be independent from the provided array.
+        /// A new memory block will be allocated for storing the matrix.
         /// </summary>
-        /// <param name="rows">The number of rows.</param>
+        /// <seealso cref="http://en.wikipedia.org/wiki/Row-major_order"/>
-        /// <param name="columns">The number of columns.</param>
-        /// <param name="array">The one dimensional array to create this matrix from. This array should store the matrix in column-major order. see: http://en.wikipedia.org/wiki/Column-major_order </param>
-        /// <exception cref="ArgumentOutOfRangeException">If <paramref name="array"/> length is less than <paramref name="rows"/> * <paramref name="columns"/>.
-        /// </exception>
         public SparseMatrix(int rows, int columns, float[] array)
             : this(rows, columns)
         {
@@ -160,9 +155,10 @@ namespace MathNet.Numerics.LinearAlgebra.Single
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseMatrix"/> class from a 2D array.
+        /// Create a new sparse matrix as a copy of the given two-dimensional array.
+        /// This new matrix will be independent from the provided array.
+        /// A new memory block will be allocated for storing the matrix.
         /// </summary>
-        /// <param name="array">The 2D array to create this matrix from.</param>
         public SparseMatrix(float[,] array)
             : this(array.GetLength(0), array.GetLength(1))
         {
@@ -176,10 +172,10 @@ namespace MathNet.Numerics.LinearAlgebra.Single
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseMatrix"/> class, copying
+        /// Create a new sparse matrix as a copy of the given other matrix.
-        /// the values from the given matrix.
+        /// This new matrix will be independent from the other matrix.
+        /// A new memory block will be allocated for storing the matrix.
         /// </summary>
-        /// <param name="matrix">The matrix to copy.</param>
         public SparseMatrix(Matrix<float> matrix)
             : this(matrix.RowCount, matrix.ColumnCount)
         {

src/Numerics/LinearAlgebra/Single/SparseVector.cs

@@ -4,7 +4,7 @@
 // http://github.com/mathnet/mathnet-numerics
 // http://mathnetnumerics.codeplex.com
 //
-// Copyright (c) 2009-2011 Math.NET
+// Copyright (c) 2009-2013 Math.NET
 //
 // Permission is hereby granted, free of charge, to any person
 // obtaining a copy of this software and associated documentation
@@ -40,7 +40,7 @@ namespace MathNet.Numerics.LinearAlgebra.Single
     using Threading;
 
     /// <summary>
-    /// A vector with sparse storage.
+    /// A vector with sparse storage, intended for very large vectors where most of the cells are zero.
     /// </summary>
     /// <remarks>The sparse vector is not thread safe.</remarks>
     [Serializable]
@@ -59,7 +59,10 @@ namespace MathNet.Numerics.LinearAlgebra.Single
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseVector"/> class.
+        /// Create a new sparse vector straight from an initialized vector storage instance.
+        /// The storage is used directly without copying.
+        /// Intended for advanced scenarios where you're working directly with
+        /// storage for performance or interop reasons.
         /// </summary>
         public SparseVector(SparseVectorStorage<float> storage)
             : base(storage)
@@ -68,42 +71,32 @@ namespace MathNet.Numerics.LinearAlgebra.Single
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseVector"/> class with a given size.
+        /// Create a new sparse vector with the given length.
+        /// All cells of the vector will be initialized to zero.
+        /// Zero-length vectors are not supported.
         /// </summary>
-        /// <param name="size">
+        /// <exception cref="ArgumentException">If length is less than one.</exception>
-        /// the size of the vector.
+        public SparseVector(int length)
-        /// </param>
+            : this(new SparseVectorStorage<float>(length))
-        /// <exception cref="ArgumentException">
-        /// If <paramref name="size"/> is less than one.
-        /// </exception>
-        public SparseVector(int size)
-            : this(new SparseVectorStorage<float>(size))
         {
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseVector"/> class with a given size
+        /// Create a new sparse vector with the given length.
-        /// and each element set to the given value;
+        /// All cells of the vector will be initialized with the provided value.
+        /// Zero-length vectors are not supported.
         /// </summary>
-        /// <param name="size">
+        /// <exception cref="ArgumentException">If length is less than one.</exception>
-        /// the size of the vector.
-        /// </param>
-        /// <param name="value">
-        /// the value to set each element to.
-        /// </param>
-        /// <exception cref="ArgumentException">
-        /// If <paramref name="size"/> is less than one.
-        /// </exception>
         [Obsolete("Use a dense vector instead. Scheduled for removal in v3.0.")]
-        public SparseVector(int size, float value)
+        public SparseVector(int length, float value)
-            : this(new SparseVectorStorage<float>(size))
+            : this(new SparseVectorStorage<float>(length))
         {
             if (value == 0.0)
             {
                 return;
             }
 
-            var valueCount = _storage.ValueCount = size;
+            var valueCount = _storage.ValueCount = length;
             var indices = _storage.Indices = new int[valueCount];
             var values = _storage.Values = new float[valueCount];
 
@@ -115,12 +108,10 @@ namespace MathNet.Numerics.LinearAlgebra.Single
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseVector"/> class by
+        /// Create a new sparse vector as a copy of the given other vector.
-        /// copying the values from another.
+        /// This new vector will be independent from the other vector.
+        /// A new memory block will be allocated for storing the vector.
         /// </summary>
-        /// <param name="other">
-        /// The vector to create the new vector from.
-        /// </param>
         public SparseVector(Vector<float> other)
             : this(new SparseVectorStorage<float>(other.Count))
         {
@@ -128,10 +119,10 @@ namespace MathNet.Numerics.LinearAlgebra.Single
         }
 
         /// <summary>
-        /// Initializes a new instance of the <see cref="SparseVector"/> class for an array.
+        /// Create a new sparse vector as a copy of the given array.
+        /// This new vector will be independent from the array.
+        /// A new memory block will be allocated for storing the vector.
         /// </summary>
-        /// <param name="array">The array to create this vector from.</param>
-        /// <remarks>The vector copy the array. Any changes to the vector will NOT change the array.</remarks>
         public SparseVector(IList<float> array)
             : this(new SparseVectorStorage<float>(array.Count))
         {