Maintenance: minor code style fixes

src/Numerics/Differentiation/NumericalDerivative.cs

@@ -68,6 +68,39 @@ namespace MathNet.Numerics.Differentiation
     /// </summary>
     public class NumericalDerivative
     {
+        readonly int _points;
+        int _center;
+        double _stepSize = Math.Pow(2, -10);
+        double _epsilon = Precision.PositiveMachineEpsilon;
+        double _baseStepSize = Math.Pow(2, -26);
+        StepType _stepType = StepType.Relative;
+        readonly FiniteDifferenceCoefficients _coefficients;
+
+        /// <summary>
+        /// Initializes a NumericalDerivative class with the default 3 point center difference method.
+        /// </summary>
+        public NumericalDerivative() : this(3, 1)
+        {
+        }
+
+        /// <summary>
+        /// Initialized a NumericalDerivative class.
+        /// </summary>
+        /// <param name="points">Number of points for finite difference derivatives.</param>
+        /// <param name="center">Location of the center with respect to other points. Value ranges from zero to points-1.</param>
+        public NumericalDerivative(int points, int center)
+        {
+            if (points < 2)
+            {
+                throw new ArgumentOutOfRangeException("points", "Points must be two or greater.");
+            }
+
+            _center = center;
+            _points = points;
+            Center = center;
+            _coefficients = new FiniteDifferenceCoefficients(points);
+        }
+
         /// <summary>
         /// Sets and gets the finite difference step size. This value is for each function evaluation if relative stepsize types are used.
         /// If the base step size used in scaling is desired, see <see cref="Epsilon"/>.
@@ -147,37 +180,6 @@ namespace MathNet.Numerics.Differentiation
             set { _stepType = value; }
         }
 
-        private readonly int _points;
-        private int _center;
-        private double _stepSize = Math.Pow(2, -10);
-        private double _epsilon = Math.Pow(2, -52);
-        private double _baseStepSize = Math.Pow(2, -26);
-        private StepType _stepType = StepType.Relative;
-        private readonly FiniteDifferenceCoefficients _coefficients;
-
-        /// <summary>
-        /// Initializes a NumericalDerivative class with the default 3 point center difference method.
-        /// </summary>
-        public NumericalDerivative() : this(3, 1)
-        {
-        }
-
-        /// <summary>
-        /// Initialized a NumericalDerivative class.
-        /// </summary>
-        /// <param name="points">Number of points for finite difference derivatives.</param>
-        /// <param name="center">Location of the center with respect to other points. Value ranges from zero to points-1.</param>
-        public NumericalDerivative(int points, int center)
-        {
-            _center = center;
-            if (points < 2)
-                throw new ArgumentOutOfRangeException("points", "Points must be two or greater.");
-            _points = points;
-            Center = center;
-            _epsilon = Precision.PositiveMachineEpsilon;
-            _coefficients = new FiniteDifferenceCoefficients(points);
-        }
-
         /// <summary>
         /// Evaluates the derivative of equidistant points using the finite difference method.
         /// </summary>

src/Numerics/Distributions/Beta.cs

@@ -413,14 +413,14 @@ namespace MathNet.Numerics.Distributions
         /// <param name="a">The α shape parameter of the Beta distribution. Range: α ≥ 0.</param>
         /// <param name="b">The β shape parameter of the Beta distribution. Range: β ≥ 0.</param>
         /// <returns>a random number from the Beta distribution.</returns>
-        static internal double SampleUnchecked(System.Random rnd, double a, double b)
+        internal static double SampleUnchecked(System.Random rnd, double a, double b)
         {
             var x = Gamma.SampleUnchecked(rnd, a, 1.0);
             var y = Gamma.SampleUnchecked(rnd, b, 1.0);
             return x/(x + y);
         }
 
-        static internal void SamplesUnchecked(System.Random rnd, double[] values, double a, double b)
+        internal static void SamplesUnchecked(System.Random rnd, double[] values, double a, double b)
         {
             var y = new double[values.Length];
             Gamma.SamplesUnchecked(rnd, values, a, 1.0);

src/Numerics/LinearAlgebra/Complex/DiagonalMatrix.cs

@@ -1007,7 +1007,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         /// <summary>
         /// Evaluates whether this matrix is symmetric.
         /// </summary>
-        public override sealed bool IsSymmetric()
+        public sealed override bool IsSymmetric()
         {
             return true;
         }
@@ -1015,7 +1015,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         /// <summary>
         /// Evaluates whether this matrix is hermitian (conjugate symmetric).
         /// </summary>
-        public override sealed bool IsHermitian()
+        public sealed override bool IsHermitian()
         {
             for (var k = 0; k < _data.Length; k ++)
             {

src/Numerics/LinearAlgebra/Complex/Matrix.cs

@@ -69,7 +69,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         /// Returns the conjugate transpose of this matrix.
         /// </summary>
         /// <returns>The conjugate transpose of this matrix.</returns>
-        public override sealed Matrix<Complex> ConjugateTranspose()
+        public sealed override Matrix<Complex> ConjugateTranspose()
         {
             var ret = Transpose();
             ret.MapInplace(c => c.Conjugate(), Zeros.AllowSkip);
@@ -363,7 +363,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         /// </summary>
         /// <param name="divisor">The pointwise denominator matrix to use</param>
         /// <param name="result">The result of the modulus.</param>
-        protected override sealed void DoPointwiseModulus(Matrix<Complex> divisor, Matrix<Complex> result)
+        protected sealed override void DoPointwiseModulus(Matrix<Complex> divisor, Matrix<Complex> result)
         {
             throw new NotSupportedException();
         }
@@ -374,7 +374,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         /// </summary>
         /// <param name="divisor">The pointwise denominator matrix to use</param>
         /// <param name="result">The result of the modulus.</param>
-        protected override sealed void DoPointwiseRemainder(Matrix<Complex> divisor, Matrix<Complex> result)
+        protected sealed override void DoPointwiseRemainder(Matrix<Complex> divisor, Matrix<Complex> result)
         {
             throw new NotSupportedException();
         }
@@ -385,7 +385,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         /// </summary>
         /// <param name="divisor">The scalar denominator to use.</param>
         /// <param name="result">Matrix to store the results in.</param>
-        protected override sealed void DoModulus(Complex divisor, Matrix<Complex> result)
+        protected sealed override void DoModulus(Complex divisor, Matrix<Complex> result)
         {
             throw new NotSupportedException();
         }
@@ -396,7 +396,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         /// </summary>
         /// <param name="dividend">The scalar numerator to use.</param>
         /// <param name="result">A vector to store the results in.</param>
-        protected override sealed void DoModulusByThis(Complex dividend, Matrix<Complex> result)
+        protected sealed override void DoModulusByThis(Complex dividend, Matrix<Complex> result)
         {
             throw new NotSupportedException();
         }
@@ -407,7 +407,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         /// </summary>
         /// <param name="divisor">The scalar denominator to use.</param>
         /// <param name="result">Matrix to store the results in.</param>
-        protected override sealed void DoRemainder(Complex divisor, Matrix<Complex> result)
+        protected sealed override void DoRemainder(Complex divisor, Matrix<Complex> result)
         {
             throw new NotSupportedException();
         }
@@ -418,7 +418,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         /// </summary>
         /// <param name="dividend">The scalar numerator to use.</param>
         /// <param name="result">A vector to store the results in.</param>
-        protected override sealed void DoRemainderByThis(Complex dividend, Matrix<Complex> result)
+        protected sealed override void DoRemainderByThis(Complex dividend, Matrix<Complex> result)
         {
             throw new NotSupportedException();
         }
@@ -559,7 +559,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         /// Normalizes all row vectors to a unit p-norm.
         /// Typical values for p are 1.0 (L1, Manhattan norm), 2.0 (L2, Euclidean norm) and positive infinity (infinity norm)
         /// </summary>
-        public override sealed Matrix<Complex> NormalizeRows(double norm)
+        public sealed override Matrix<Complex> NormalizeRows(double norm)
         {
             var norminv = ((DenseVectorStorage<double>)RowNorms(norm).Storage).Data;
             for (int i = 0; i < norminv.Length; i++)
@@ -576,7 +576,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         /// Normalizes all column vectors to a unit p-norm.
         /// Typical values for p are 1.0 (L1, Manhattan norm), 2.0 (L2, Euclidean norm) and positive infinity (infinity norm)
         /// </summary>
-        public override sealed Matrix<Complex> NormalizeColumns(double norm)
+        public sealed override Matrix<Complex> NormalizeColumns(double norm)
         {
             var norminv = ((DenseVectorStorage<double>)ColumnNorms(norm).Storage).Data;
             for (int i = 0; i < norminv.Length; i++)

src/Numerics/LinearAlgebra/Complex/Solvers/ILUTPPreconditioner.cs

@@ -112,11 +112,11 @@ namespace MathNet.Numerics.LinearAlgebra.Complex.Solvers
         /// Initializes a new instance of the <see cref="ILUTPPreconditioner"/> class with the specified settings.
         /// </summary>
         /// <param name="fillLevel">
-        /// The amount of fill that is allowed in the matrix. The value is a fraction of 
+        /// The amount of fill that is allowed in the matrix. The value is a fraction of
         /// the number of non-zero entries in the original matrix. Values should be positive.
         /// </param>
         /// <param name="dropTolerance">
-        /// The absolute drop tolerance which indicates below what absolute value an entry 
+        /// The absolute drop tolerance which indicates below what absolute value an entry
         /// will be dropped from the matrix. A drop tolerance of 0.0 means that no values
         /// will be dropped. Values should always be positive.
         /// </param>
@@ -156,7 +156,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex.Solvers
         /// Values should always be positive and can be higher than 1.0. A value lower
         /// than 1.0 means that the eventual preconditioner matrix will have fewer
         /// non-zero entries as the original matrix. A value higher than 1.0 means that
-        /// the eventual preconditioner can have more non-zero values than the original 
+        /// the eventual preconditioner can have more non-zero values than the original
         /// matrix.
         /// </para>
         /// <para>
@@ -187,7 +187,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex.Solvers
         /// <remarks>
         /// <para>
         /// The values should always be positive and can be larger than 1.0. A low value will
-        /// keep more small numbers in the preconditioner matrix. A high value will remove 
+        /// keep more small numbers in the preconditioner matrix. A high value will remove
         /// more small numbers from the preconditioner matrix.
         /// </para>
         /// <para>
@@ -218,7 +218,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex.Solvers
         /// <remarks>
         /// <para>
         /// The pivot tolerance is used to calculate if pivoting is necessary. Pivoting
-        /// will take place if any of the values in a row is bigger than the 
+        /// will take place if any of the values in a row is bigger than the
         /// diagonal value of that row divided by the pivot tolerance, i.e. pivoting
         /// will take place if <b>row(i,j) > row(i,i) / PivotTolerance</b> for
         /// any <b>j</b> that is not equal to <b>i</b>.
@@ -291,8 +291,8 @@ namespace MathNet.Numerics.LinearAlgebra.Complex.Solvers
         /// Initializes the preconditioner and loads the internal data structures.
         /// </summary>
         /// <param name="matrix">
-        /// The <see cref="Matrix"/> upon which this preconditioner is based. Note that the 
+        /// The <see cref="Matrix"/> upon which this preconditioner is based. Note that the
-        /// method takes a general matrix type. However internally the data is stored 
+        /// method takes a general matrix type. However internally the data is stored
         /// as a sparse matrix. Therefore it is not recommended to pass a dense matrix.
         /// </param>
         /// <exception cref="ArgumentNullException"> If <paramref name="matrix"/> is <see langword="null" />.</exception>
@@ -309,7 +309,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex.Solvers
                 throw new ArgumentException(Resources.ArgumentMatrixSquare, "matrix");
             }
 
-            var sparseMatrix = (matrix is SparseMatrix) ? matrix as SparseMatrix : SparseMatrix.OfMatrix(matrix);
+            var sparseMatrix = matrix as SparseMatrix ?? SparseMatrix.OfMatrix(matrix);
 
             // The creation of the preconditioner follows the following algorithm.
             // spaceLeft = lfilNnz * nnz(A)
@@ -347,7 +347,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex.Solvers
             //    lfil = spaceRow - nnz(L(i,:))  // space for this row of U
             //    u(i,j) = w(j) for j = i, .. , n // only the largest lfil - 1 elements
             //    w = 0
-            //    
+            //
             //    if max(U(i,i + 1: n)) > U(i,i) / pivTol then // pivot if necessary
             //    {
             //        pivot by swapping the max and the diagonal entries
@@ -797,7 +797,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex.Solvers
         }
 
         /// <summary>
-        /// Sort the given integers in a decreasing fashion using heapsort algorithm 
+        /// Sort the given integers in a decreasing fashion using heapsort algorithm
         /// </summary>
         /// <param name="values">Array of values to sort</param>
         /// <param name="count">Length of <paramref name="values"/></param>

src/Numerics/LinearAlgebra/Complex/Vector.cs

@@ -211,7 +211,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         /// </summary>
         /// <param name="divisor">The pointwise denominator vector to use.</param>
         /// <param name="result">The result of the modulus.</param>
-        protected override sealed void DoPointwiseModulus(Vector<Complex> divisor, Vector<Complex> result)
+        protected sealed override void DoPointwiseModulus(Vector<Complex> divisor, Vector<Complex> result)
         {
             throw new NotSupportedException();
         }
@@ -222,7 +222,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         /// </summary>
         /// <param name="divisor">The pointwise denominator vector to use.</param>
         /// <param name="result">The result of the modulus.</param>
-        protected override sealed void DoPointwiseRemainder(Vector<Complex> divisor, Vector<Complex> result)
+        protected sealed override void DoPointwiseRemainder(Vector<Complex> divisor, Vector<Complex> result)
         {
             throw new NotSupportedException();
         }
@@ -281,7 +281,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         /// </summary>
         /// <param name="divisor">The scalar denominator to use.</param>
         /// <param name="result">A vector to store the results in.</param>
-        protected override sealed void DoModulus(Complex divisor, Vector<Complex> result)
+        protected sealed override void DoModulus(Complex divisor, Vector<Complex> result)
         {
             throw new NotSupportedException();
         }
@@ -292,7 +292,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         /// </summary>
         /// <param name="dividend">The scalar numerator to use.</param>
         /// <param name="result">A vector to store the results in.</param>
-        protected override sealed void DoModulusByThis(Complex dividend, Vector<Complex> result)
+        protected sealed override void DoModulusByThis(Complex dividend, Vector<Complex> result)
         {
             throw new NotSupportedException();
         }
@@ -303,7 +303,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         /// </summary>
         /// <param name="divisor">The scalar denominator to use.</param>
         /// <param name="result">A vector to store the results in.</param>
-        protected override sealed void DoRemainder(Complex divisor, Vector<Complex> result)
+        protected sealed override void DoRemainder(Complex divisor, Vector<Complex> result)
         {
             throw new NotSupportedException();
         }
@@ -314,7 +314,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         /// </summary>
         /// <param name="dividend">The scalar numerator to use.</param>
         /// <param name="result">A vector to store the results in.</param>
-        protected override sealed void DoRemainderByThis(Complex dividend, Vector<Complex> result)
+        protected sealed override void DoRemainderByThis(Complex dividend, Vector<Complex> result)
         {
             throw new NotSupportedException();
         }

src/Numerics/LinearAlgebra/Complex32/DiagonalMatrix.cs

@@ -1001,7 +1001,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         /// <summary>
         /// Evaluates whether this matrix is symmetric.
         /// </summary>
-        public override sealed bool IsSymmetric()
+        public sealed override bool IsSymmetric()
         {
             return true;
         }
@@ -1009,7 +1009,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         /// <summary>
         /// Evaluates whether this matrix is hermitian (conjugate symmetric).
         /// </summary>
-        public override sealed bool IsHermitian()
+        public sealed override bool IsHermitian()
         {
             for (var k = 0; k < _data.Length; k++)
             {

src/Numerics/LinearAlgebra/Complex32/Matrix.cs

@@ -64,7 +64,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         /// Returns the conjugate transpose of this matrix.
         /// </summary>
         /// <returns>The conjugate transpose of this matrix.</returns>
-        public override sealed Matrix<Complex32> ConjugateTranspose()
+        public sealed override Matrix<Complex32> ConjugateTranspose()
         {
             var ret = Transpose();
             ret.MapInplace(c => c.Conjugate(), Zeros.AllowSkip);
@@ -358,7 +358,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         /// </summary>
         /// <param name="divisor">The pointwise denominator matrix to use</param>
         /// <param name="result">The result of the modulus.</param>
-        protected override sealed void DoPointwiseModulus(Matrix<Complex32> divisor, Matrix<Complex32> result)
+        protected sealed override void DoPointwiseModulus(Matrix<Complex32> divisor, Matrix<Complex32> result)
         {
             throw new NotSupportedException();
         }
@@ -369,7 +369,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         /// </summary>
         /// <param name="divisor">The pointwise denominator matrix to use</param>
         /// <param name="result">The result of the modulus.</param>
-        protected override sealed void DoPointwiseRemainder(Matrix<Complex32> divisor, Matrix<Complex32> result)
+        protected sealed override void DoPointwiseRemainder(Matrix<Complex32> divisor, Matrix<Complex32> result)
         {
             throw new NotSupportedException();
         }
@@ -380,7 +380,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         /// </summary>
         /// <param name="divisor">The scalar denominator to use.</param>
         /// <param name="result">Matrix to store the results in.</param>
-        protected override sealed void DoModulus(Complex32 divisor, Matrix<Complex32> result)
+        protected sealed override void DoModulus(Complex32 divisor, Matrix<Complex32> result)
         {
             throw new NotSupportedException();
         }
@@ -391,7 +391,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         /// </summary>
         /// <param name="dividend">The scalar numerator to use.</param>
         /// <param name="result">A vector to store the results in.</param>
-        protected override sealed void DoModulusByThis(Complex32 dividend, Matrix<Complex32> result)
+        protected sealed override void DoModulusByThis(Complex32 dividend, Matrix<Complex32> result)
         {
             throw new NotSupportedException();
         }
@@ -402,7 +402,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         /// </summary>
         /// <param name="divisor">The scalar denominator to use.</param>
         /// <param name="result">Matrix to store the results in.</param>
-        protected override sealed void DoRemainder(Complex32 divisor, Matrix<Complex32> result)
+        protected sealed override void DoRemainder(Complex32 divisor, Matrix<Complex32> result)
         {
             throw new NotSupportedException();
         }
@@ -413,7 +413,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         /// </summary>
         /// <param name="dividend">The scalar numerator to use.</param>
         /// <param name="result">A vector to store the results in.</param>
-        protected override sealed void DoRemainderByThis(Complex32 dividend, Matrix<Complex32> result)
+        protected sealed override void DoRemainderByThis(Complex32 dividend, Matrix<Complex32> result)
         {
             throw new NotSupportedException();
         }
@@ -552,7 +552,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         /// Normalizes all row vectors to a unit p-norm.
         /// Typical values for p are 1.0 (L1, Manhattan norm), 2.0 (L2, Euclidean norm) and positive infinity (infinity norm)
         /// </summary>
-        public override sealed Matrix<Complex32> NormalizeRows(double norm)
+        public sealed override Matrix<Complex32> NormalizeRows(double norm)
         {
             var norminv = ((DenseVectorStorage<double>)RowNorms(norm).Storage).Data;
             for (int i = 0; i < norminv.Length; i++)
@@ -569,7 +569,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         /// Normalizes all column vectors to a unit p-norm.
         /// Typical values for p are 1.0 (L1, Manhattan norm), 2.0 (L2, Euclidean norm) and positive infinity (infinity norm)
         /// </summary>
-        public override sealed Matrix<Complex32> NormalizeColumns(double norm)
+        public sealed override Matrix<Complex32> NormalizeColumns(double norm)
         {
             var norminv = ((DenseVectorStorage<double>)ColumnNorms(norm).Storage).Data;
             for (int i = 0; i < norminv.Length; i++)

src/Numerics/LinearAlgebra/Complex32/Solvers/ILUTPPreconditioner.cs

@@ -107,11 +107,11 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32.Solvers
         /// Initializes a new instance of the <see cref="ILUTPPreconditioner"/> class with the specified settings.
         /// </summary>
         /// <param name="fillLevel">
-        /// The amount of fill that is allowed in the matrix. The value is a fraction of 
+        /// The amount of fill that is allowed in the matrix. The value is a fraction of
         /// the number of non-zero entries in the original matrix. Values should be positive.
         /// </param>
         /// <param name="dropTolerance">
-        /// The absolute drop tolerance which indicates below what absolute value an entry 
+        /// The absolute drop tolerance which indicates below what absolute value an entry
         /// will be dropped from the matrix. A drop tolerance of 0.0 means that no values
         /// will be dropped. Values should always be positive.
         /// </param>
@@ -151,7 +151,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32.Solvers
         /// Values should always be positive and can be higher than 1.0. A value lower
         /// than 1.0 means that the eventual preconditioner matrix will have fewer
         /// non-zero entries as the original matrix. A value higher than 1.0 means that
-        /// the eventual preconditioner can have more non-zero values than the original 
+        /// the eventual preconditioner can have more non-zero values than the original
         /// matrix.
         /// </para>
         /// <para>
@@ -182,7 +182,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32.Solvers
         /// <remarks>
         /// <para>
         /// The values should always be positive and can be larger than 1.0. A low value will
-        /// keep more small numbers in the preconditioner matrix. A high value will remove 
+        /// keep more small numbers in the preconditioner matrix. A high value will remove
         /// more small numbers from the preconditioner matrix.
         /// </para>
         /// <para>
@@ -213,7 +213,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32.Solvers
         /// <remarks>
         /// <para>
         /// The pivot tolerance is used to calculate if pivoting is necessary. Pivoting
-        /// will take place if any of the values in a row is bigger than the 
+        /// will take place if any of the values in a row is bigger than the
         /// diagonal value of that row divided by the pivot tolerance, i.e. pivoting
         /// will take place if <b>row(i,j) > row(i,i) / PivotTolerance</b> for
         /// any <b>j</b> that is not equal to <b>i</b>.
@@ -286,8 +286,8 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32.Solvers
         /// Initializes the preconditioner and loads the internal data structures.
         /// </summary>
         /// <param name="matrix">
-        /// The <see cref="Matrix"/> upon which this preconditioner is based. Note that the 
+        /// The <see cref="Matrix"/> upon which this preconditioner is based. Note that the
-        /// method takes a general matrix type. However internally the data is stored 
+        /// method takes a general matrix type. However internally the data is stored
         /// as a sparse matrix. Therefore it is not recommended to pass a dense matrix.
         /// </param>
         /// <exception cref="ArgumentNullException"> If <paramref name="matrix"/> is <see langword="null" />.</exception>
@@ -304,7 +304,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32.Solvers
                 throw new ArgumentException(Resources.ArgumentMatrixSquare, "matrix");
             }
 
-            var sparseMatrix = (matrix is SparseMatrix) ? matrix as SparseMatrix : SparseMatrix.OfMatrix(matrix);
+            var sparseMatrix = matrix as SparseMatrix ?? SparseMatrix.OfMatrix(matrix);
 
             // The creation of the preconditioner follows the following algorithm.
             // spaceLeft = lfilNnz * nnz(A)
@@ -342,7 +342,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32.Solvers
             //    lfil = spaceRow - nnz(L(i,:))  // space for this row of U
             //    u(i,j) = w(j) for j = i, .. , n // only the largest lfil - 1 elements
             //    w = 0
-            //    
+            //
             //    if max(U(i,i + 1: n)) > U(i,i) / pivTol then // pivot if necessary
             //    {
             //        pivot by swapping the max and the diagonal entries
@@ -792,7 +792,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32.Solvers
         }
 
         /// <summary>
-        /// Sort the given integers in a decreasing fashion using heapsort algorithm 
+        /// Sort the given integers in a decreasing fashion using heapsort algorithm
         /// </summary>
         /// <param name="values">Array of values to sort</param>
         /// <param name="count">Length of <paramref name="values"/></param>

src/Numerics/LinearAlgebra/Complex32/Vector.cs

@@ -206,7 +206,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         /// </summary>
         /// <param name="divisor">The pointwise denominator vector to use.</param>
         /// <param name="result">The result of the modulus.</param>
-        protected override sealed void DoPointwiseModulus(Vector<Complex32> divisor, Vector<Complex32> result)
+        protected sealed override void DoPointwiseModulus(Vector<Complex32> divisor, Vector<Complex32> result)
         {
             throw new NotSupportedException();
         }
@@ -217,7 +217,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         /// </summary>
         /// <param name="divisor">The pointwise denominator vector to use.</param>
         /// <param name="result">The result of the modulus.</param>
-        protected override sealed void DoPointwiseRemainder(Vector<Complex32> divisor, Vector<Complex32> result)
+        protected sealed override void DoPointwiseRemainder(Vector<Complex32> divisor, Vector<Complex32> result)
         {
             throw new NotSupportedException();
         }
@@ -276,7 +276,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         /// </summary>
         /// <param name="divisor">The scalar denominator to use.</param>
         /// <param name="result">A vector to store the results in.</param>
-        protected override sealed void DoModulus(Complex32 divisor, Vector<Complex32> result)
+        protected sealed override void DoModulus(Complex32 divisor, Vector<Complex32> result)
         {
             throw new NotSupportedException();
         }
@@ -287,7 +287,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         /// </summary>
         /// <param name="dividend">The scalar numerator to use.</param>
         /// <param name="result">A vector to store the results in.</param>
-        protected override sealed void DoModulusByThis(Complex32 dividend, Vector<Complex32> result)
+        protected sealed override void DoModulusByThis(Complex32 dividend, Vector<Complex32> result)
         {
             throw new NotSupportedException();
         }
@@ -298,7 +298,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         /// </summary>
         /// <param name="divisor">The scalar denominator to use.</param>
         /// <param name="result">A vector to store the results in.</param>
-        protected override sealed void DoRemainder(Complex32 divisor, Vector<Complex32> result)
+        protected sealed override void DoRemainder(Complex32 divisor, Vector<Complex32> result)
         {
             throw new NotSupportedException();
         }
@@ -309,7 +309,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         /// </summary>
         /// <param name="dividend">The scalar numerator to use.</param>
         /// <param name="result">A vector to store the results in.</param>
-        protected override sealed void DoRemainderByThis(Complex32 dividend, Vector<Complex32> result)
+        protected sealed override void DoRemainderByThis(Complex32 dividend, Vector<Complex32> result)
         {
             throw new NotSupportedException();
         }

src/Numerics/LinearAlgebra/Double/DiagonalMatrix.cs

@@ -850,7 +850,7 @@ namespace MathNet.Numerics.LinearAlgebra.Double
         /// <summary>
         /// Evaluates whether this matrix is symmetric.
         /// </summary>
-        public override sealed bool IsSymmetric()
+        public sealed override bool IsSymmetric()
         {
             return true;
         }

src/Numerics/LinearAlgebra/Double/Matrix.cs

@@ -62,7 +62,7 @@ namespace MathNet.Numerics.LinearAlgebra.Double
         /// Returns the conjugate transpose of this matrix.
         /// </summary>
         /// <returns>The conjugate transpose of this matrix.</returns>
-        public override sealed Matrix<double> ConjugateTranspose()
+        public sealed override Matrix<double> ConjugateTranspose()
         {
             return Transpose();
         }
@@ -71,7 +71,7 @@ namespace MathNet.Numerics.LinearAlgebra.Double
         /// Complex conjugates each element of this matrix and place the results into the result matrix.
         /// </summary>
         /// <param name="result">The result of the conjugation.</param>
-        protected override sealed void DoConjugate(Matrix<double> result)
+        protected sealed override void DoConjugate(Matrix<double> result)
         {
             if (ReferenceEquals(this, result))
             {
@@ -229,7 +229,7 @@ namespace MathNet.Numerics.LinearAlgebra.Double
         /// </summary>
         /// <param name="other">The matrix to multiply with.</param>
         /// <param name="result">The result of the multiplication.</param>
-        protected override sealed void DoConjugateTransposeAndMultiply(Matrix<double> other, Matrix<double> result)
+        protected sealed override void DoConjugateTransposeAndMultiply(Matrix<double> other, Matrix<double> result)
         {
             DoTransposeAndMultiply(other, result);
         }
@@ -260,7 +260,7 @@ namespace MathNet.Numerics.LinearAlgebra.Double
         /// </summary>
         /// <param name="other">The matrix to multiply with.</param>
         /// <param name="result">The result of the multiplication.</param>
-        protected override sealed void DoConjugateTransposeThisAndMultiply(Matrix<double> other, Matrix<double> result)
+        protected sealed override void DoConjugateTransposeThisAndMultiply(Matrix<double> other, Matrix<double> result)
         {
             DoTransposeThisAndMultiply(other, result);
         }
@@ -288,7 +288,7 @@ namespace MathNet.Numerics.LinearAlgebra.Double
         /// </summary>
         /// <param name="rightSide">The vector to multiply with.</param>
         /// <param name="result">The result of the multiplication.</param>
-        protected override sealed void DoConjugateTransposeThisAndMultiply(Vector<double> rightSide, Vector<double> result)
+        protected sealed override void DoConjugateTransposeThisAndMultiply(Vector<double> rightSide, Vector<double> result)
         {
             DoTransposeThisAndMultiply(rightSide, result);
         }
@@ -523,7 +523,7 @@ namespace MathNet.Numerics.LinearAlgebra.Double
         /// Normalizes all row vectors to a unit p-norm.
         /// Typical values for p are 1.0 (L1, Manhattan norm), 2.0 (L2, Euclidean norm) and positive infinity (infinity norm)
         /// </summary>
-        public override sealed Matrix<double> NormalizeRows(double norm)
+        public sealed override Matrix<double> NormalizeRows(double norm)
         {
             var norminv = ((DenseVectorStorage<double>)RowNorms(norm).Storage).Data;
             for (int i = 0; i < norminv.Length; i++)
@@ -540,7 +540,7 @@ namespace MathNet.Numerics.LinearAlgebra.Double
         /// Normalizes all column vectors to a unit p-norm.
         /// Typical values for p are 1.0 (L1, Manhattan norm), 2.0 (L2, Euclidean norm) and positive infinity (infinity norm)
         /// </summary>
-        public override sealed Matrix<double> NormalizeColumns(double norm)
+        public sealed override Matrix<double> NormalizeColumns(double norm)
         {
             var norminv = ((DenseVectorStorage<double>)ColumnNorms(norm).Storage).Data;
             for (int i = 0; i < norminv.Length; i++)
@@ -617,7 +617,7 @@ namespace MathNet.Numerics.LinearAlgebra.Double
         /// <summary>
         /// Evaluates whether this matrix is hermitian (conjugate symmetric).
         /// </summary>
-        public override sealed bool IsHermitian()
+        public sealed override bool IsHermitian()
         {
             return IsSymmetric();
         }

src/Numerics/LinearAlgebra/Double/Solvers/ILUTPPreconditioner.cs

@@ -105,11 +105,11 @@ namespace MathNet.Numerics.LinearAlgebra.Double.Solvers
         /// Initializes a new instance of the <see cref="ILUTPPreconditioner"/> class with the specified settings.
         /// </summary>
         /// <param name="fillLevel">
-        /// The amount of fill that is allowed in the matrix. The value is a fraction of 
+        /// The amount of fill that is allowed in the matrix. The value is a fraction of
         /// the number of non-zero entries in the original matrix. Values should be positive.
         /// </param>
         /// <param name="dropTolerance">
-        /// The absolute drop tolerance which indicates below what absolute value an entry 
+        /// The absolute drop tolerance which indicates below what absolute value an entry
         /// will be dropped from the matrix. A drop tolerance of 0.0 means that no values
         /// will be dropped. Values should always be positive.
         /// </param>
@@ -149,7 +149,7 @@ namespace MathNet.Numerics.LinearAlgebra.Double.Solvers
         /// Values should always be positive and can be higher than 1.0. A value lower
         /// than 1.0 means that the eventual preconditioner matrix will have fewer
         /// non-zero entries as the original matrix. A value higher than 1.0 means that
-        /// the eventual preconditioner can have more non-zero values than the original 
+        /// the eventual preconditioner can have more non-zero values than the original
         /// matrix.
         /// </para>
         /// <para>
@@ -180,7 +180,7 @@ namespace MathNet.Numerics.LinearAlgebra.Double.Solvers
         /// <remarks>
         /// <para>
         /// The values should always be positive and can be larger than 1.0. A low value will
-        /// keep more small numbers in the preconditioner matrix. A high value will remove 
+        /// keep more small numbers in the preconditioner matrix. A high value will remove
         /// more small numbers from the preconditioner matrix.
         /// </para>
         /// <para>
@@ -211,7 +211,7 @@ namespace MathNet.Numerics.LinearAlgebra.Double.Solvers
         /// <remarks>
         /// <para>
         /// The pivot tolerance is used to calculate if pivoting is necessary. Pivoting
-        /// will take place if any of the values in a row is bigger than the 
+        /// will take place if any of the values in a row is bigger than the
         /// diagonal value of that row divided by the pivot tolerance, i.e. pivoting
         /// will take place if <b>row(i,j) > row(i,i) / PivotTolerance</b> for
         /// any <b>j</b> that is not equal to <b>i</b>.
@@ -284,8 +284,8 @@ namespace MathNet.Numerics.LinearAlgebra.Double.Solvers
         /// Initializes the preconditioner and loads the internal data structures.
         /// </summary>
         /// <param name="matrix">
-        /// The <see cref="Matrix"/> upon which this preconditioner is based. Note that the 
+        /// The <see cref="Matrix"/> upon which this preconditioner is based. Note that the
-        /// method takes a general matrix type. However internally the data is stored 
+        /// method takes a general matrix type. However internally the data is stored
         /// as a sparse matrix. Therefore it is not recommended to pass a dense matrix.
         /// </param>
         /// <exception cref="ArgumentNullException"> If <paramref name="matrix"/> is <see langword="null" />.</exception>
@@ -302,7 +302,7 @@ namespace MathNet.Numerics.LinearAlgebra.Double.Solvers
                 throw new ArgumentException(Resources.ArgumentMatrixSquare, "matrix");
             }
 
-            var sparseMatrix = (matrix is SparseMatrix) ? matrix as SparseMatrix : SparseMatrix.OfMatrix(matrix);
+            var sparseMatrix = matrix as SparseMatrix ?? SparseMatrix.OfMatrix(matrix);
 
             // The creation of the preconditioner follows the following algorithm.
             // spaceLeft = lfilNnz * nnz(A)
@@ -340,7 +340,7 @@ namespace MathNet.Numerics.LinearAlgebra.Double.Solvers
             //    lfil = spaceRow - nnz(L(i,:))  // space for this row of U
             //    u(i,j) = w(j) for j = i, .. , n // only the largest lfil - 1 elements
             //    w = 0
-            //    
+            //
             //    if max(U(i,i + 1: n)) > U(i,i) / pivTol then // pivot if necessary
             //    {
             //        pivot by swapping the max and the diagonal entries
@@ -790,7 +790,7 @@ namespace MathNet.Numerics.LinearAlgebra.Double.Solvers
         }
 
         /// <summary>
-        /// Sort the given integers in a decreasing fashion using heapsort algorithm 
+        /// Sort the given integers in a decreasing fashion using heapsort algorithm
         /// </summary>
         /// <param name="values">Array of values to sort</param>
         /// <param name="count">Length of <paramref name="values"/></param>

src/Numerics/LinearAlgebra/Double/Vector.cs

@@ -60,7 +60,7 @@ namespace MathNet.Numerics.LinearAlgebra.Double
         /// Conjugates vector and save result to <paramref name="result"/>
         /// </summary>
         /// <param name="result">Target vector</param>
-        protected override sealed void DoConjugate(Vector<double> result)
+        protected sealed override void DoConjugate(Vector<double> result)
         {
             if (ReferenceEquals(this, result))
             {
@@ -263,7 +263,7 @@ namespace MathNet.Numerics.LinearAlgebra.Double
         /// </summary>
         /// <param name="other">The other vector.</param>
         /// <returns>The sum of conj(a[i])*b[i] for all i.</returns>
-        protected override sealed double DoConjugateDotProduct(Vector<double> other)
+        protected sealed override double DoConjugateDotProduct(Vector<double> other)
         {
             return DoDotProduct(other);
         }

src/Numerics/LinearAlgebra/Matrix.BCL.cs

@@ -376,7 +376,7 @@ namespace MathNet.Numerics.LinearAlgebra
         /// Returns a string that summarizes this matrix.
         /// The maximum number of cells can be configured in the <see cref="Control"/> class.
         /// </summary>
-        public override sealed string ToString()
+        public sealed override string ToString()
         {
             return string.Concat(ToTypeString(), Environment.NewLine, ToMatrixString());
         }

src/Numerics/LinearAlgebra/Single/DiagonalMatrix.cs

@@ -850,7 +850,7 @@ namespace MathNet.Numerics.LinearAlgebra.Single
         /// <summary>
         /// Evaluates whether this matrix is symmetric.
         /// </summary>
-        public override sealed bool IsSymmetric()
+        public sealed override bool IsSymmetric()
         {
             return true;
         }

src/Numerics/LinearAlgebra/Single/Matrix.cs

@@ -62,7 +62,7 @@ namespace MathNet.Numerics.LinearAlgebra.Single
         /// Returns the conjugate transpose of this matrix.
         /// </summary>
         /// <returns>The conjugate transpose of this matrix.</returns>
-        public override sealed Matrix<float> ConjugateTranspose()
+        public sealed override Matrix<float> ConjugateTranspose()
         {
             return Transpose();
         }
@@ -71,7 +71,7 @@ namespace MathNet.Numerics.LinearAlgebra.Single
         /// Complex conjugates each element of this matrix and place the results into the result matrix.
         /// </summary>
         /// <param name="result">The result of the conjugation.</param>
-        protected override sealed void DoConjugate(Matrix<float> result)
+        protected sealed override void DoConjugate(Matrix<float> result)
         {
             if (ReferenceEquals(this, result))
             {
@@ -229,7 +229,7 @@ namespace MathNet.Numerics.LinearAlgebra.Single
         /// </summary>
         /// <param name="other">The matrix to multiply with.</param>
         /// <param name="result">The result of the multiplication.</param>
-        protected override sealed void DoConjugateTransposeAndMultiply(Matrix<float> other, Matrix<float> result)
+        protected sealed override void DoConjugateTransposeAndMultiply(Matrix<float> other, Matrix<float> result)
         {
             DoTransposeAndMultiply(other, result);
         }
@@ -260,7 +260,7 @@ namespace MathNet.Numerics.LinearAlgebra.Single
         /// </summary>
         /// <param name="other">The matrix to multiply with.</param>
         /// <param name="result">The result of the multiplication.</param>
-        protected override sealed void DoConjugateTransposeThisAndMultiply(Matrix<float> other, Matrix<float> result)
+        protected sealed override void DoConjugateTransposeThisAndMultiply(Matrix<float> other, Matrix<float> result)
         {
             DoTransposeThisAndMultiply(other, result);
         }
@@ -288,7 +288,7 @@ namespace MathNet.Numerics.LinearAlgebra.Single
         /// </summary>
         /// <param name="rightSide">The vector to multiply with.</param>
         /// <param name="result">The result of the multiplication.</param>
-        protected override sealed void DoConjugateTransposeThisAndMultiply(Vector<float> rightSide, Vector<float> result)
+        protected sealed override void DoConjugateTransposeThisAndMultiply(Vector<float> rightSide, Vector<float> result)
         {
             DoTransposeThisAndMultiply(rightSide, result);
         }
@@ -544,7 +544,7 @@ namespace MathNet.Numerics.LinearAlgebra.Single
         /// Normalizes all row vectors to a unit p-norm.
         /// Typical values for p are 1.0 (L1, Manhattan norm), 2.0 (L2, Euclidean norm) and positive infinity (infinity norm)
         /// </summary>
-        public override sealed Matrix<float> NormalizeRows(double norm)
+        public sealed override Matrix<float> NormalizeRows(double norm)
         {
             var norminv = ((DenseVectorStorage<double>)RowNorms(norm).Storage).Data;
             for (int i = 0; i < norminv.Length; i++)
@@ -561,7 +561,7 @@ namespace MathNet.Numerics.LinearAlgebra.Single
         /// Normalizes all column vectors to a unit p-norm.
         /// Typical values for p are 1.0 (L1, Manhattan norm), 2.0 (L2, Euclidean norm) and positive infinity (infinity norm)
         /// </summary>
-        public override sealed Matrix<float> NormalizeColumns(double norm)
+        public sealed override Matrix<float> NormalizeColumns(double norm)
         {
             var norminv = ((DenseVectorStorage<double>)ColumnNorms(norm).Storage).Data;
             for (int i = 0; i < norminv.Length; i++)
@@ -617,7 +617,7 @@ namespace MathNet.Numerics.LinearAlgebra.Single
         /// <summary>
         /// Evaluates whether this matrix is hermitian (conjugate symmetric).
         /// </summary>
-        public override sealed bool IsHermitian()
+        public sealed override bool IsHermitian()
         {
             return IsSymmetric();
         }

src/Numerics/LinearAlgebra/Single/Solvers/ILUTPPreconditioner.cs

@@ -105,11 +105,11 @@ namespace MathNet.Numerics.LinearAlgebra.Single.Solvers
         /// Initializes a new instance of the <see cref="ILUTPPreconditioner"/> class with the specified settings.
         /// </summary>
         /// <param name="fillLevel">
-        /// The amount of fill that is allowed in the matrix. The value is a fraction of 
+        /// The amount of fill that is allowed in the matrix. The value is a fraction of
         /// the number of non-zero entries in the original matrix. Values should be positive.
         /// </param>
         /// <param name="dropTolerance">
-        /// The absolute drop tolerance which indicates below what absolute value an entry 
+        /// The absolute drop tolerance which indicates below what absolute value an entry
         /// will be dropped from the matrix. A drop tolerance of 0.0 means that no values
         /// will be dropped. Values should always be positive.
         /// </param>
@@ -149,7 +149,7 @@ namespace MathNet.Numerics.LinearAlgebra.Single.Solvers
         /// Values should always be positive and can be higher than 1.0. A value lower
         /// than 1.0 means that the eventual preconditioner matrix will have fewer
         /// non-zero entries as the original matrix. A value higher than 1.0 means that
-        /// the eventual preconditioner can have more non-zero values than the original 
+        /// the eventual preconditioner can have more non-zero values than the original
         /// matrix.
         /// </para>
         /// <para>
@@ -180,7 +180,7 @@ namespace MathNet.Numerics.LinearAlgebra.Single.Solvers
         /// <remarks>
         /// <para>
         /// The values should always be positive and can be larger than 1.0. A low value will
-        /// keep more small numbers in the preconditioner matrix. A high value will remove 
+        /// keep more small numbers in the preconditioner matrix. A high value will remove
         /// more small numbers from the preconditioner matrix.
         /// </para>
         /// <para>
@@ -211,7 +211,7 @@ namespace MathNet.Numerics.LinearAlgebra.Single.Solvers
         /// <remarks>
         /// <para>
         /// The pivot tolerance is used to calculate if pivoting is necessary. Pivoting
-        /// will take place if any of the values in a row is bigger than the 
+        /// will take place if any of the values in a row is bigger than the
         /// diagonal value of that row divided by the pivot tolerance, i.e. pivoting
         /// will take place if <b>row(i,j) > row(i,i) / PivotTolerance</b> for
         /// any <b>j</b> that is not equal to <b>i</b>.
@@ -284,8 +284,8 @@ namespace MathNet.Numerics.LinearAlgebra.Single.Solvers
         /// Initializes the preconditioner and loads the internal data structures.
         /// </summary>
         /// <param name="matrix">
-        /// The <see cref="Matrix"/> upon which this preconditioner is based. Note that the 
+        /// The <see cref="Matrix"/> upon which this preconditioner is based. Note that the
-        /// method takes a general matrix type. However internally the data is stored 
+        /// method takes a general matrix type. However internally the data is stored
         /// as a sparse matrix. Therefore it is not recommended to pass a dense matrix.
         /// </param>
         /// <exception cref="ArgumentNullException"> If <paramref name="matrix"/> is <see langword="null" />.</exception>
@@ -302,7 +302,7 @@ namespace MathNet.Numerics.LinearAlgebra.Single.Solvers
                 throw new ArgumentException(Resources.ArgumentMatrixSquare, "matrix");
             }
 
-            var sparseMatrix = (matrix is SparseMatrix) ? matrix as SparseMatrix : SparseMatrix.OfMatrix(matrix);
+            SparseMatrix sparseMatrix = matrix as SparseMatrix ?? SparseMatrix.OfMatrix(matrix);
 
             // The creation of the preconditioner follows the following algorithm.
             // spaceLeft = lfilNnz * nnz(A)
@@ -340,7 +340,7 @@ namespace MathNet.Numerics.LinearAlgebra.Single.Solvers
             //    lfil = spaceRow - nnz(L(i,:))  // space for this row of U
             //    u(i,j) = w(j) for j = i, .. , n // only the largest lfil - 1 elements
             //    w = 0
-            //    
+            //
             //    if max(U(i,i + 1: n)) > U(i,i) / pivTol then // pivot if necessary
             //    {
             //        pivot by swapping the max and the diagonal entries
@@ -790,7 +790,7 @@ namespace MathNet.Numerics.LinearAlgebra.Single.Solvers
         }
 
         /// <summary>
-        /// Sort the given integers in a decreasing fashion using heapsort algorithm 
+        /// Sort the given integers in a decreasing fashion using heapsort algorithm
         /// </summary>
         /// <param name="values">Array of values to sort</param>
         /// <param name="count">Length of <paramref name="values"/></param>

src/Numerics/LinearAlgebra/Single/Vector.cs

@@ -60,7 +60,7 @@ namespace MathNet.Numerics.LinearAlgebra.Single
         /// Conjugates vector and save result to <paramref name="result"/>
         /// </summary>
         /// <param name="result">Target vector</param>
-        protected override sealed void DoConjugate(Vector<float> result)
+        protected sealed override void DoConjugate(Vector<float> result)
         {
             if (ReferenceEquals(this, result))
             {
@@ -263,7 +263,7 @@ namespace MathNet.Numerics.LinearAlgebra.Single
         /// </summary>
         /// <param name="other">The other vector.</param>
         /// <returns>The sum of conj(a[i])*b[i] for all i.</returns>
-        protected override sealed float DoConjugateDotProduct(Vector<float> other)
+        protected sealed override float DoConjugateDotProduct(Vector<float> other)
         {
             return DoDotProduct(other);
         }

src/Numerics/LinearAlgebra/Storage/MatrixStorage.cs

@@ -172,7 +172,7 @@ namespace MathNet.Numerics.LinearAlgebra.Storage
         /// true if the specified <see cref="T:System.Object"/> is equal to the current <see cref="T:System.Object"/>; otherwise, false.
         /// </returns>
         /// <param name="obj">The <see cref="T:System.Object"/> to compare with the current <see cref="T:System.Object"/>. </param>
-        public override sealed bool Equals(object obj)
+        public sealed override bool Equals(object obj)
         {
             return Equals(obj as MatrixStorage<T>);
         }

src/Numerics/LinearAlgebra/Storage/VectorStorage.cs

@@ -148,7 +148,7 @@ namespace MathNet.Numerics.LinearAlgebra.Storage
         /// true if the specified <see cref="T:System.Object"/> is equal to the current <see cref="T:System.Object"/>; otherwise, false.
         /// </returns>
         /// <param name="obj">The <see cref="T:System.Object"/> to compare with the current <see cref="T:System.Object"/>. </param>
-        public override sealed bool Equals(object obj)
+        public sealed override bool Equals(object obj)
         {
             return Equals(obj as VectorStorage<T>);
         }

src/Numerics/LinearAlgebra/Vector.BCL.cs

@@ -61,7 +61,7 @@ namespace MathNet.Numerics.LinearAlgebra
         /// <returns>
         ///     <c>true</c> if the specified <see cref="System.Object"/> is equal to this instance; otherwise, <c>false</c>.
         /// </returns>
-        public override sealed bool Equals(object obj)
+        public sealed override bool Equals(object obj)
         {
             var other = obj as Vector<T>;
             return other != null && Storage.Equals(other.Storage);
@@ -73,7 +73,7 @@ namespace MathNet.Numerics.LinearAlgebra
         /// <returns>
         /// A hash code for this instance, suitable for use in hashing algorithms and data structures like a hash table.
         /// </returns>
-        public override sealed int GetHashCode()
+        public sealed override int GetHashCode()
         {
             return Storage.GetHashCode();
         }
@@ -399,7 +399,7 @@ namespace MathNet.Numerics.LinearAlgebra
         /// Returns a string that summarizes this vector.
         /// The maximum number of cells can be configured in the <see cref="Control"/> class.
         /// </summary>
-        public override sealed string ToString()
+        public sealed override string ToString()
         {
             return string.Concat(ToTypeString(), Environment.NewLine, ToVectorString());
         }

src/Numerics/Permutation.cs

@@ -177,7 +177,7 @@ namespace MathNet.Numerics
         /// <param name="indices">An array which represents where each integer is permuted too: indices[i] represents that integer i
         /// is permuted to location indices[i].</param>
         /// <returns>True if <paramref name="indices"/> represents a proper permutation, <c>false</c> otherwise.</returns>
-        static private bool CheckForProperPermutation(int[] indices)
+        static bool CheckForProperPermutation(int[] indices)
         {
             var idxCheck = new bool[indices.Length];
 

src/Numerics/Statistics/MCMC/HybridMC.cs

@@ -85,7 +85,7 @@ namespace MathNet.Numerics.Statistics.Mcmc
         /// <param name="burnInterval">The number of iterations in between returning samples.</param>
         /// <exception cref="ArgumentOutOfRangeException">When the number of burnInterval iteration is negative.</exception>
         public HybridMC(double[] x0, DensityLn<double[]> pdfLnP, int frogLeapSteps, double stepSize, int burnInterval = 0)
-            : this(x0, pdfLnP, frogLeapSteps, stepSize, burnInterval, new double[x0.Count()], SystemRandomSource.Default, Grad)
+            : this(x0, pdfLnP, frogLeapSteps, stepSize, burnInterval, new double[x0.Length], SystemRandomSource.Default, Grad)
         {
             for (int i = 0; i < _length; i++)
             {
@@ -154,7 +154,7 @@ namespace MathNet.Numerics.Statistics.Mcmc
         public HybridMC(double[] x0, DensityLn<double[]> pdfLnP, int frogLeapSteps, double stepSize, int burnInterval, double[] pSdv, System.Random randomSource, DiffMethod diff)
             : base(x0, pdfLnP, frogLeapSteps, stepSize, burnInterval, randomSource, diff)
         {
-            _length = x0.Count();
+            _length = x0.Length;
             MomentumStdDev = pSdv;
 
             Initialize(x0);
@@ -185,7 +185,7 @@ namespace MathNet.Numerics.Statistics.Mcmc
             {
                 throw new ArgumentNullException("pSdv", "Standard deviation cannot be null.");
             }
-            if (pSdv.Count() != _length)
+            if (pSdv.Length != _length)
             {
                 throw new ArgumentOutOfRangeException("pSdv", "Standard deviation of momentum must have same length as sample.");
             }
@@ -263,7 +263,7 @@ namespace MathNet.Numerics.Statistics.Mcmc
         /// <param name="function">Function which the gradient is to be evaluated.</param>
         /// <param name="x">The location where the gradient is to be evaluated.</param>
         /// <returns>The gradient of the function at the point x.</returns>
-        static private double[] Grad(DensityLn<double[]> function, double[] x)
+        static double[] Grad(DensityLn<double[]> function, double[] x)
         {
             int length = x.Length;
             var returnValue = new double[length];

src/Numerics/Statistics/MCMC/HybridMCGeneric.cs

@@ -42,7 +42,7 @@ namespace MathNet.Numerics.Statistics.Mcmc
     /// (<seealso cref="MetropolisSampler{T}"/>).
     /// </summary>
     /// <typeparam name="T">The type of samples this sampler produces.</typeparam>
-    abstract public class HybridMCGeneric<T> : McmcSampler<T>
+    public abstract class HybridMCGeneric<T> : McmcSampler<T>
     {
         /// <summary>
         /// The delegate type that defines a derivative evaluated at a certain point.
@@ -211,21 +211,21 @@ namespace MathNet.Numerics.Statistics.Mcmc
         /// Use for creating temporary objects in the Burn method.
         /// </summary>
         /// <returns>An object of type T.</returns>
-        abstract protected T Create();
+        protected abstract T Create();
 
         /// <summary>
         /// Use for copying objects in the Burn method.
         /// </summary>
         /// <param name="source">The source of copying.</param>
         /// <returns>A copy of the source object.</returns>
-        abstract protected T Copy(T source);
+        protected abstract T Copy(T source);
 
         /// <summary>
         /// Method for doing dot product.
         /// </summary>
         /// <param name="first">First vector/scalar in the product.</param>
         /// <param name="second">Second vector/scalar in the product.</param>
-        abstract protected double DoProduct(T first, T second);
+        protected abstract double DoProduct(T first, T second);
 
         /// <summary>
         /// Method for adding, multiply the second vector/scalar by factor and then
@@ -234,7 +234,7 @@ namespace MathNet.Numerics.Statistics.Mcmc
         /// <param name="first">First vector/scalar.</param>
         /// <param name="factor">Scalar factor multiplying by the second vector/scalar.</param>
         /// <param name="second">Second vector/scalar.</param>
-        abstract protected void DoAdd(ref T first, double factor, T second);
+        protected abstract void DoAdd(ref T first, double factor, T second);
 
         /// <summary>
         /// Multiplying the second vector/scalar by factor and then subtract it from
@@ -243,13 +243,13 @@ namespace MathNet.Numerics.Statistics.Mcmc
         /// <param name="first">First vector/scalar.</param>
         /// <param name="factor">Scalar factor to be multiplied to the second vector/scalar.</param>
         /// <param name="second">Second vector/scalar.</param>
-        abstract protected void DoSubtract(ref T first, double factor, T second);
+        protected abstract void DoSubtract(ref T first, double factor, T second);
 
         /// <summary>
         /// Method for sampling a random momentum.
         /// </summary>
         /// <param name="p">Momentum to be randomized.</param>
-        abstract protected void RandomizeMomentum(ref T p);
+        protected abstract void RandomizeMomentum(ref T p);
 
         /// <summary>
         /// The Hamiltonian equations that is used to produce the new sample.

src/Numerics/Statistics/MCMC/MCMCDiagnostics.cs

@@ -39,7 +39,7 @@ namespace MathNet.Numerics.Statistics.Mcmc
     /// Provides utilities to analysis the convergence of a set of samples from
     /// a <seealso cref="McmcSampler{T}"/>.
     /// </summary>
-    static public class MCMCDiagnostics
+    public static class MCMCDiagnostics
     {
         /// <summary>
         /// Computes the auto correlations of a series evaluated by a function f.
@@ -50,7 +50,7 @@ namespace MathNet.Numerics.Statistics.Mcmc
         /// <returns>The auto correlation.</returns>
         /// <exception cref="ArgumentOutOfRangeException">Throws if lag is zero or if lag is
         /// greater than or equal to the length of Series.</exception>
-        static public double ACF<T>(IEnumerable<T> series, int lag, Func<T,double> f)
+        public static double ACF<T>(IEnumerable<T> series, int lag, Func<T,double> f)
         {
             if (lag < 0)
             {
@@ -78,7 +78,7 @@ namespace MathNet.Numerics.Statistics.Mcmc
         /// <param name="series">The samples.</param>
         /// <param name="f">The function use for evaluating the series.</param>
         /// <returns>The effective size when auto correlation is taken into account.</returns>
-        static public double EffectiveSize<T>(IEnumerable<T> series, Func<T,double> f)
+        public static double EffectiveSize<T>(IEnumerable<T> series, Func<T,double> f)
         {
             int length = series.Count();
             double rho = ACF(series, 1, f);

src/Numerics/Statistics/MCMC/UnivariateHybridMC.cs

@@ -185,7 +185,7 @@ namespace MathNet.Numerics.Statistics.Mcmc
         /// <param name="function">Function for which the derivative is to be evaluated.</param>
         /// <param name="x">The location where the derivative is to be evaluated.</param>
         /// <returns>The derivative of the function at the point x.</returns>
-        static private double Grad(DensityLn<double> function, double x)
+        static double Grad(DensityLn<double> function, double x)
         {
             double h = Math.Max(10e-4, (10e-7) * x);
             double increment = x + h;