LA: Make builder much more complete

src/Numerics/LinearAlgebra/Factorization/LU.cs

@@ -46,7 +46,7 @@ namespace MathNet.Numerics.LinearAlgebra.Factorization
     public abstract class LU<T> : ISolver<T>
         where T : struct, IEquatable<T>, IFormattable
     {
-        static readonly T One = Builder<T>.Instance.One;
+        static readonly T One = BuilderInstance<T>.Instance.One;
 
         readonly Lazy<Matrix<T>> _lazyL;
         readonly Lazy<Matrix<T>> _lazyU;

src/Numerics/LinearAlgebra/Matrix.Arithmetic.cs

@@ -41,12 +41,12 @@ namespace MathNet.Numerics.LinearAlgebra
         /// <summary>
         /// The value of 1.0.
         /// </summary>
-        public static readonly T One = Builder<T>.Instance.One;
+        public static readonly T One = BuilderInstance<T>.Instance.One;
 
         /// <summary>
         /// The value of 0.0.
         /// </summary>
-        public static readonly T Zero = Builder<T>.Instance.Zero;
+        public static readonly T Zero = BuilderInstance<T>.Instance.Zero;
 
         /// <summary>
         /// Negate each element of this matrix and place the results into the result matrix.

src/Numerics/LinearAlgebra/Matrix.Solve.cs

@@ -161,7 +161,7 @@ namespace MathNet.Numerics.LinearAlgebra
         {
             if (iterator == null)
             {
-                iterator = new Iterator<T>(Builder.IterativeSolverStopCriteria());
+                iterator = new Iterator<T>(Build.IterativeSolverStopCriteria());
             }
 
             if (preconditioner == null)
@@ -191,7 +191,7 @@ namespace MathNet.Numerics.LinearAlgebra
 
             if (iterator == null)
             {
-                iterator = new Iterator<T>(Builder.IterativeSolverStopCriteria());
+                iterator = new Iterator<T>(Build.IterativeSolverStopCriteria());
             }
 
             if (preconditioner == null)
@@ -201,7 +201,7 @@ namespace MathNet.Numerics.LinearAlgebra
 
             for (var column = 0; column < input.ColumnCount; column++)
             {
-                var solution = Builder.DenseVector(RowCount);
+                var solution = Build.DenseVector(RowCount);
 
                 solver.Solve(this, input.Column(column), solution, iterator, preconditioner);
 
@@ -225,7 +225,7 @@ namespace MathNet.Numerics.LinearAlgebra
         /// <param name="preconditioner">The preconditioner to use for approximations.</param>
         public IterationStatus TrySolveIterative(Vector<T> input, Vector<T> result, IIterativeSolver<T> solver, IPreconditioner<T> preconditioner, params IIterationStopCriterium<T>[] stopCriteria)
         {
-            var iterator = new Iterator<T>(stopCriteria.Length == 0 ? Builder.IterativeSolverStopCriteria() : stopCriteria);
+            var iterator = new Iterator<T>(stopCriteria.Length == 0 ? Build.IterativeSolverStopCriteria() : stopCriteria);
             return TrySolveIterative(input, result, solver, iterator, preconditioner);
         }
 
@@ -239,7 +239,7 @@ namespace MathNet.Numerics.LinearAlgebra
         /// <param name="preconditioner">The preconditioner to use for approximations.</param>
         public IterationStatus TrySolveIterative(Matrix<T> input, Matrix<T> result, IIterativeSolver<T> solver, IPreconditioner<T> preconditioner, params IIterationStopCriterium<T>[] stopCriteria)
         {
-            var iterator = new Iterator<T>(stopCriteria.Length == 0 ? Builder.IterativeSolverStopCriteria() : stopCriteria);
+            var iterator = new Iterator<T>(stopCriteria.Length == 0 ? Build.IterativeSolverStopCriteria() : stopCriteria);
             return TrySolveIterative(input, result, solver, iterator, preconditioner);
         }
 
@@ -252,7 +252,7 @@ namespace MathNet.Numerics.LinearAlgebra
         /// <param name="stopCriteria">Criteria to control when to stop iterating.</param>
         public IterationStatus TrySolveIterative(Vector<T> input, Vector<T> result, IIterativeSolver<T> solver, params IIterationStopCriterium<T>[] stopCriteria)
         {
-            var iterator = new Iterator<T>(stopCriteria.Length == 0 ? Builder.IterativeSolverStopCriteria() : stopCriteria);
+            var iterator = new Iterator<T>(stopCriteria.Length == 0 ? Build.IterativeSolverStopCriteria() : stopCriteria);
             return TrySolveIterative(input, result, solver, iterator);
         }
 
@@ -265,7 +265,7 @@ namespace MathNet.Numerics.LinearAlgebra
         /// <param name="stopCriteria">Criteria to control when to stop iterating.</param>
         public IterationStatus TrySolveIterative(Matrix<T> input, Matrix<T> result, IIterativeSolver<T> solver, params IIterationStopCriterium<T>[] stopCriteria)
         {
-            var iterator = new Iterator<T>(stopCriteria.Length == 0 ? Builder.IterativeSolverStopCriteria() : stopCriteria);
+            var iterator = new Iterator<T>(stopCriteria.Length == 0 ? Build.IterativeSolverStopCriteria() : stopCriteria);
             return TrySolveIterative(input, result, solver, iterator);
         }
 
@@ -283,7 +283,7 @@ namespace MathNet.Numerics.LinearAlgebra
         /// <returns>The result vector <c>x</c>.</returns>
         public Vector<T> SolveIterative(Vector<T> input, IIterativeSolver<T> solver, Iterator<T> iterator = null, IPreconditioner<T> preconditioner = null)
         {
-            var result = Builder.DenseVector(RowCount);
+            var result = Build.DenseVector(RowCount);
             TrySolveIterative(input, result, solver, iterator, preconditioner);
             return result;
         }
@@ -298,7 +298,7 @@ namespace MathNet.Numerics.LinearAlgebra
         /// <returns>The result matrix <c>X</c>.</returns>
         public Matrix<T> SolveIterative(Matrix<T> input, IIterativeSolver<T> solver, Iterator<T> iterator = null, IPreconditioner<T> preconditioner = null)
         {
-            var result = Builder.DenseMatrix(input.RowCount, input.ColumnCount);
+            var result = Build.DenseMatrix(input.RowCount, input.ColumnCount);
             TrySolveIterative(input, result, solver, iterator, preconditioner);
             return result;
         }
@@ -313,7 +313,7 @@ namespace MathNet.Numerics.LinearAlgebra
         /// <returns>The result vector <c>x</c>.</returns>
         public Vector<T> SolveIterative(Vector<T> input, IIterativeSolver<T> solver, IPreconditioner<T> preconditioner, params IIterationStopCriterium<T>[] stopCriteria)
         {
-            var result = Builder.DenseVector(RowCount);
+            var result = Build.DenseVector(RowCount);
             TrySolveIterative(input, result, solver, preconditioner, stopCriteria);
             return result;
         }
@@ -328,7 +328,7 @@ namespace MathNet.Numerics.LinearAlgebra
         /// <returns>The result matrix <c>X</c>.</returns>
         public Matrix<T> SolveIterative(Matrix<T> input, IIterativeSolver<T> solver, IPreconditioner<T> preconditioner, params IIterationStopCriterium<T>[] stopCriteria)
         {
-            var result = Builder.DenseMatrix(input.RowCount, input.ColumnCount);
+            var result = Build.DenseMatrix(input.RowCount, input.ColumnCount);
             TrySolveIterative(input, result, solver, preconditioner, stopCriteria);
             return result;
         }
@@ -342,7 +342,7 @@ namespace MathNet.Numerics.LinearAlgebra
         /// <returns>The result vector <c>x</c>.</returns>
         public Vector<T> SolveIterative(Vector<T> input, IIterativeSolver<T> solver, params IIterationStopCriterium<T>[] stopCriteria)
         {
-            var result = Builder.DenseVector(RowCount);
+            var result = Build.DenseVector(RowCount);
             TrySolveIterative(input, result, solver, stopCriteria);
             return result;
         }
@@ -356,7 +356,7 @@ namespace MathNet.Numerics.LinearAlgebra
         /// <returns>The result matrix <c>X</c>.</returns>
         public Matrix<T> SolveIterative(Matrix<T> input, IIterativeSolver<T> solver, params IIterationStopCriterium<T>[] stopCriteria)
         {
-            var result = Builder.DenseMatrix(input.RowCount, input.ColumnCount);
+            var result = Build.DenseMatrix(input.RowCount, input.ColumnCount);
             TrySolveIterative(input, result, solver, stopCriteria);
             return result;
         }

src/Numerics/LinearAlgebra/Matrix.cs

@@ -58,7 +58,7 @@ namespace MathNet.Numerics.LinearAlgebra
             ColumnCount = storage.ColumnCount;
         }
 
-        public static readonly IGenericBuilder<T> Builder = Builder<T>.Instance;
+        public static readonly Builder<T> Build = BuilderInstance<T>.Instance;
 
         /// <summary>
         /// Gets the raw matrix data storage.
@@ -244,8 +244,8 @@ namespace MathNet.Numerics.LinearAlgebra
         public Matrix<T> CreateMatrix(int rows, int columns)
         {
             return Storage.IsDense
-                ? Builder.DenseMatrix(rows, columns)
-                : Builder.SparseMatrix(rows, columns);
+                ? Build.DenseMatrix(rows, columns)
+                : Build.SparseMatrix(rows, columns);
         }
 
         /// <summary>
@@ -256,8 +256,8 @@ namespace MathNet.Numerics.LinearAlgebra
         public Vector<T> CreateVector(int size)
         {
             return Storage.IsDense
-                ? Builder.DenseVector(size)
-                : Builder.SparseVector(size);
+                ? Build.DenseVector(size)
+                : Build.SparseVector(size);
         }
 
         /// <summary>

src/Numerics/LinearAlgebra/Solvers/Iterator.cs

@@ -56,7 +56,7 @@ namespace MathNet.Numerics.LinearAlgebra.Solvers
         /// </summary>
         public Iterator()
         {
-            _stopCriteria = new List<IIterationStopCriterium<T>>(Matrix<T>.Builder.IterativeSolverStopCriteria());
+            _stopCriteria = new List<IIterationStopCriterium<T>>(Matrix<T>.Build.IterativeSolverStopCriteria());
         }
 
         /// <summary>

src/Numerics/LinearAlgebra/Storage/MatrixStorage.cs

@@ -40,7 +40,7 @@ namespace MathNet.Numerics.LinearAlgebra.Storage
     {
         // [ruegg] public fields are OK here
 
-        protected static readonly T Zero = Builder<T>.Instance.Zero;
+        protected static readonly T Zero = BuilderInstance<T>.Instance.Zero;
         public readonly int RowCount;
         public readonly int ColumnCount;
 

src/Numerics/LinearAlgebra/Storage/VectorStorage.cs

@@ -40,7 +40,7 @@ namespace MathNet.Numerics.LinearAlgebra.Storage
     {
         // [ruegg] public fields are OK here
 
-        protected static readonly T Zero = Builder<T>.Instance.Zero;
+        protected static readonly T Zero = BuilderInstance<T>.Instance.Zero;
         public readonly int Length;
 
         protected VectorStorage(int length)

src/Numerics/LinearAlgebra/Vector.Arithmetic.cs

@@ -38,12 +38,12 @@ namespace MathNet.Numerics.LinearAlgebra
         /// <summary>
         /// The zero value for type T.
         /// </summary>
-        public static readonly T Zero = Builder<T>.Instance.Zero;
+        public static readonly T Zero = BuilderInstance<T>.Instance.Zero;
 
         /// <summary>
         /// The value of 1.0 for type T.
         /// </summary>
-        public static readonly T One = Builder<T>.Instance.One;
+        public static readonly T One = BuilderInstance<T>.Instance.One;
 
         /// <summary>
         /// Negates vector and save result to <paramref name="result"/>

src/Numerics/LinearAlgebra/Vector.cs

@@ -58,7 +58,7 @@ namespace MathNet.Numerics.LinearAlgebra
             Count = storage.Length;
         }
 
-        public static readonly IGenericBuilder<T> Builder = Builder<T>.Instance;
+        public static readonly Builder<T> Builder = BuilderInstance<T>.Instance;
 
         /// <summary>
         /// Gets the raw vector data storage.