Tests: prefer matrix builders

src/Numerics/LinearAlgebra/Complex/Factorization/DenseGramSchmidt.cs

@@ -58,7 +58,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex.Factorization
         /// <exception cref="ArgumentNullException">If <paramref name="matrix"/> is <c>null</c>.</exception>
         /// <exception cref="ArgumentException">If <paramref name="matrix"/> row count is less then column count</exception>
         /// <exception cref="ArgumentException">If <paramref name="matrix"/> is rank deficient</exception>
-        public static DenseGramSchmidt Create(DenseMatrix matrix)
+        public static DenseGramSchmidt Create(Matrix<Complex> matrix)
         {
             if (matrix.RowCount < matrix.ColumnCount)
             {

src/Numerics/LinearAlgebra/Complex32/Factorization/DenseGramSchmidt.cs

@@ -53,7 +53,7 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32.Factorization
         /// <exception cref="ArgumentNullException">If <paramref name="matrix"/> is <c>null</c>.</exception>
         /// <exception cref="ArgumentException">If <paramref name="matrix"/> row count is less then column count</exception>
         /// <exception cref="ArgumentException">If <paramref name="matrix"/> is rank deficient</exception>
-        public static DenseGramSchmidt Create(DenseMatrix matrix)
+        public static DenseGramSchmidt Create(Matrix<Complex32> matrix)
         {
             if (matrix.RowCount < matrix.ColumnCount)
             {

src/Numerics/LinearAlgebra/Double/Factorization/DenseGramSchmidt.cs

@@ -44,14 +44,14 @@ namespace MathNet.Numerics.LinearAlgebra.Double.Factorization
     internal sealed class DenseGramSchmidt : GramSchmidt
     {
         /// <summary>
-        /// Initializes a new instance of the <see cref="DenseGramSchmidt"/> class. This object creates an orthogonal matrix 
+        /// Initializes a new instance of the <see cref="DenseGramSchmidt"/> class. This object creates an orthogonal matrix
         /// using the modified Gram-Schmidt method.
         /// </summary>
         /// <param name="matrix">The matrix to factor.</param>
         /// <exception cref="ArgumentNullException">If <paramref name="matrix"/> is <c>null</c>.</exception>
         /// <exception cref="ArgumentException">If <paramref name="matrix"/> row count is less then column count</exception>
         /// <exception cref="ArgumentException">If <paramref name="matrix"/> is rank deficient</exception>
-        public static DenseGramSchmidt Create(DenseMatrix matrix)
+        public static DenseGramSchmidt Create(Matrix<double> matrix)
         {
             if (matrix.RowCount < matrix.ColumnCount)
             {
@@ -109,7 +109,7 @@ namespace MathNet.Numerics.LinearAlgebra.Double.Factorization
                     {
                         dot += q[(k1 * rowsQ) + index] * q[(j1 * rowsQ) + index];
                     }
-                    
+
                     r[(j * columnsQ) + k] = dot;
                     for (var i = 0; i < rowsQ; i++)
                     {

src/Numerics/LinearAlgebra/Single/Factorization/DenseGramSchmidt.cs

@@ -51,7 +51,7 @@ namespace MathNet.Numerics.LinearAlgebra.Single.Factorization
         /// <exception cref="ArgumentNullException">If <paramref name="matrix"/> is <c>null</c>.</exception>
         /// <exception cref="ArgumentException">If <paramref name="matrix"/> row count is less then column count</exception>
         /// <exception cref="ArgumentException">If <paramref name="matrix"/> is rank deficient</exception>
-        public static DenseGramSchmidt Create(DenseMatrix matrix)
+        public static DenseGramSchmidt Create(Matrix<float> matrix)
         {
             if (matrix.RowCount < matrix.ColumnCount)
             {

src/UnitTests/DistributionTests/Multivariate/InverseWishartTests.cs

@@ -249,12 +249,8 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Multivariate
         [TestCase(5.0, 0.00043049126899076171)]
         public void ValidateDensity(double nu, double density)
         {
-            const int Order = 1;
-            var matrix = new DenseMatrix(Order);
-            matrix[0, 0] = 1;
-
-            var x = new DenseMatrix(Order);
-            x[0, 0] = 5;
+            var matrix = Matrix<double>.Build.Dense(1, 1, 1.0);
+            var x = Matrix<double>.Build.Dense(1, 1, 5.0);
 
             var d = new InverseWishart(nu, matrix);
             AssertHelpers.AlmostEqualRelative(density, d.Density(x), 16);

src/UnitTests/DistributionTests/Multivariate/MatrixNormalTests.cs

@@ -223,26 +223,27 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Multivariate
         {
             const int Rows = 2;
             const int Cols = 2;
-            var m = new DenseMatrix(Rows, Cols);
+            var m = Matrix<double>.Build.Dense(Rows, Cols);
             m[0, 0] = 0.156065579983862;
             m[0, 1] = -0.568039841576594;
             m[1, 0] = -0.806288628097313;
             m[1, 1] = -1.20004405005077;
 
-            var v = new DenseMatrix(Rows, Rows);
+            var v = Matrix<double>.Build.Dense(Rows, Rows);
             v[0, 0] = 0.674457817054746;
             v[0, 1] = 0.878930403442185;
             v[1, 0] = 0.878930403442185;
             v[1, 1] = 1.76277498368061;
 
-            var k = new DenseMatrix(Cols, Cols);
+            var k = Matrix<double>.Build.Dense(Cols, Cols);
             k[0, 0] = 0.674457817054746;
             k[0, 1] = 0.878930403442185;
             k[1, 0] = 0.878930403442185;
             k[1, 1] = 1.76277498368061;
+
             var d = new MatrixNormal(m, v, k);
 
-            var x = new DenseMatrix(Rows, Cols);
+            var x = Matrix<double>.Build.Dense(Rows, Cols);
             x[0, 0] = 2;
             x[0, 1] = 2;
 

src/UnitTests/DistributionTests/Multivariate/WishartTests.cs

@@ -241,12 +241,8 @@ namespace MathNet.Numerics.UnitTests.DistributionTests.Multivariate
         [TestCase(5.0, 0.12204152134938706)]
         public void ValidateDensity(double nu, double density)
         {
-            const int Order = 1;
-            var matrix = new DenseMatrix(Order);
-            matrix[0, 0] = 1;
-
-            var x = new DenseMatrix(Order);
-            x[0, 0] = 5;
+            var matrix = Matrix<double>.Build.Dense(1, 1, 1.0);
+            var x = Matrix<double>.Build.Dense(1, 1, 5.0);
 
             var d = new Wishart(nu, matrix);
             AssertHelpers.AlmostEqualRelative(density, d.Density(x), 16);

src/UnitTests/LinearAlgebraProviderTests/Double/LinearAlgebraProviderTests.cs

@@ -560,7 +560,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraProviderTests.Double
         [Test]
         public void CanSolveUsingCholesky()
         {
-            var matrix = new DenseMatrix(3, 3, new double[] {1, 1, 1, 1, 2, 3, 1, 3, 6});
+            var matrix = Matrix<double>.Build.Dense(3, 3, new double[] { 1, 1, 1, 1, 2, 3, 1, 3, 6 });
             var a = new double[] {1, 1, 1, 1, 2, 3, 1, 3, 6};
 
             var b = new[] {1.0, 2.0, 3.0, 4.0, 5.0, 6.0};
@@ -611,8 +611,8 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraProviderTests.Double
             var q = new double[matrix.RowCount*matrix.RowCount];
             Control.LinearAlgebraProvider.QRFactor(r, matrix.RowCount, matrix.ColumnCount, q, tau);
 
-            var mq = new DenseMatrix(matrix.RowCount, matrix.RowCount, q);
-            var mr = new DenseMatrix(matrix.RowCount, matrix.ColumnCount, r).UpperTriangle();
+            var mq = Matrix<double>.Build.Dense(matrix.RowCount, matrix.RowCount, q);
+            var mr = Matrix<double>.Build.Dense(matrix.RowCount, matrix.ColumnCount, r).UpperTriangle();
             var a = mq*mr;
 
             for (var row = 0; row < matrix.RowCount; row++)
@@ -638,8 +638,8 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraProviderTests.Double
             var q = new double[matrix.RowCount*matrix.RowCount];
             Control.LinearAlgebraProvider.QRFactor(r, matrix.RowCount, matrix.ColumnCount, q, tau);
 
-            var mr = new DenseMatrix(matrix.RowCount, matrix.ColumnCount, r).UpperTriangle();
-            var mq = new DenseMatrix(matrix.RowCount, matrix.RowCount, q);
+            var mr = Matrix<double>.Build.Dense(matrix.RowCount, matrix.ColumnCount, r).UpperTriangle();
+            var mq = Matrix<double>.Build.Dense(matrix.RowCount, matrix.RowCount, q);
             var a = mq*mr;
 
             for (var row = 0; row < matrix.RowCount; row++)
@@ -665,8 +665,8 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraProviderTests.Double
             var q = new double[matrix.RowCount*matrix.RowCount];
             Control.LinearAlgebraProvider.QRFactor(r, matrix.RowCount, matrix.ColumnCount, q, tau);
 
-            var mr = new DenseMatrix(matrix.RowCount, matrix.ColumnCount, r).UpperTriangle();
-            var mq = new DenseMatrix(matrix.RowCount, matrix.RowCount, q);
+            var mr = Matrix<double>.Build.Dense(matrix.RowCount, matrix.ColumnCount, r).UpperTriangle();
+            var mq = Matrix<double>.Build.Dense(matrix.RowCount, matrix.RowCount, q);
             var a = mq*mr;
 
             for (var row = 0; row < matrix.RowCount; row++)
@@ -693,8 +693,8 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraProviderTests.Double
             var work = new double[matrix.ColumnCount*Control.BlockSize];
             Control.LinearAlgebraProvider.QRFactor(r, matrix.RowCount, matrix.ColumnCount, q, tau, work);
 
-            var mq = new DenseMatrix(matrix.RowCount, matrix.RowCount, q);
-            var mr = new DenseMatrix(matrix.RowCount, matrix.ColumnCount, r).UpperTriangle();
+            var mq = Matrix<double>.Build.Dense(matrix.RowCount, matrix.RowCount, q);
+            var mr = Matrix<double>.Build.Dense(matrix.RowCount, matrix.ColumnCount, r).UpperTriangle();
             var a = mq*mr;
 
             for (var row = 0; row < matrix.RowCount; row++)
@@ -721,8 +721,8 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraProviderTests.Double
             var work = new double[matrix.ColumnCount*Control.BlockSize];
             Control.LinearAlgebraProvider.QRFactor(r, matrix.RowCount, matrix.ColumnCount, q, tau, work);
 
-            var mr = new DenseMatrix(matrix.RowCount, matrix.ColumnCount, r).UpperTriangle();
-            var mq = new DenseMatrix(matrix.RowCount, matrix.RowCount, q);
+            var mr = Matrix<double>.Build.Dense(matrix.RowCount, matrix.ColumnCount, r).UpperTriangle();
+            var mq = Matrix<double>.Build.Dense(matrix.RowCount, matrix.RowCount, q);
             var a = mq*mr;
 
             for (var row = 0; row < matrix.RowCount; row++)
@@ -749,8 +749,8 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraProviderTests.Double
             var work = new double[matrix.ColumnCount*Control.BlockSize];
             Control.LinearAlgebraProvider.QRFactor(r, matrix.RowCount, matrix.ColumnCount, q, tau, work);
 
-            var mr = new DenseMatrix(matrix.RowCount, matrix.ColumnCount, r).UpperTriangle();
-            var mq = new DenseMatrix(matrix.RowCount, matrix.RowCount, q);
+            var mr = Matrix<double>.Build.Dense(matrix.RowCount, matrix.ColumnCount, r).UpperTriangle();
+            var mq = Matrix<double>.Build.Dense(matrix.RowCount, matrix.RowCount, q);
             var a = mq*mr;
 
             for (var row = 0; row < matrix.RowCount; row++)
@@ -776,8 +776,8 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraProviderTests.Double
 
             Control.LinearAlgebraProvider.ThinQRFactor(q, matrix.RowCount, matrix.ColumnCount, r, tau);
 
-            var mq = new DenseMatrix(matrix.RowCount, matrix.ColumnCount, q);
-            var mr = new DenseMatrix(matrix.ColumnCount, matrix.ColumnCount, r);
+            var mq = Matrix<double>.Build.Dense(matrix.RowCount, matrix.ColumnCount, q);
+            var mr = Matrix<double>.Build.Dense(matrix.ColumnCount, matrix.ColumnCount, r);
             var a = mq*mr;
 
             for (var row = 0; row < matrix.RowCount; row++)
@@ -803,8 +803,8 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraProviderTests.Double
 
             Control.LinearAlgebraProvider.ThinQRFactor(q, matrix.RowCount, matrix.ColumnCount, r, tau);
 
-            var mq = new DenseMatrix(matrix.RowCount, matrix.ColumnCount, q);
-            var mr = new DenseMatrix(matrix.ColumnCount, matrix.ColumnCount, r);
+            var mq = Matrix<double>.Build.Dense(matrix.RowCount, matrix.ColumnCount, q);
+            var mr = Matrix<double>.Build.Dense(matrix.ColumnCount, matrix.ColumnCount, r);
             var a = mq*mr;
 
             for (var row = 0; row < matrix.RowCount; row++)
@@ -831,8 +831,8 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraProviderTests.Double
             var work = new double[matrix.ColumnCount*Control.BlockSize];
             Control.LinearAlgebraProvider.ThinQRFactor(q, matrix.RowCount, matrix.ColumnCount, r, tau, work);
 
-            var mq = new DenseMatrix(matrix.RowCount, matrix.ColumnCount, q);
-            var mr = new DenseMatrix(matrix.ColumnCount, matrix.ColumnCount, r);
+            var mq = Matrix<double>.Build.Dense(matrix.RowCount, matrix.ColumnCount, q);
+            var mr = Matrix<double>.Build.Dense(matrix.ColumnCount, matrix.ColumnCount, r);
             var a = mq*mr;
 
             for (var row = 0; row < matrix.RowCount; row++)
@@ -859,8 +859,8 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraProviderTests.Double
             var work = new double[matrix.ColumnCount*Control.BlockSize];
             Control.LinearAlgebraProvider.ThinQRFactor(q, matrix.RowCount, matrix.ColumnCount, r, tau, work);
 
-            var mq = new DenseMatrix(matrix.RowCount, matrix.ColumnCount, q);
-            var mr = new DenseMatrix(matrix.ColumnCount, matrix.ColumnCount, r);
+            var mq = Matrix<double>.Build.Dense(matrix.RowCount, matrix.ColumnCount, q);
+            var mr = Matrix<double>.Build.Dense(matrix.ColumnCount, matrix.ColumnCount, r);
             var a = mq*mr;
             for (var row = 0; row < matrix.RowCount; row++)
             {
@@ -887,7 +887,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraProviderTests.Double
 
             NotModified(3, 3, a, matrix);
 
-            var mx = new DenseMatrix(matrix.ColumnCount, 2, x);
+            var mx = Matrix<double>.Build.Dense(matrix.ColumnCount, 2, x);
             var mb = matrix*mx;
 
             AssertHelpers.AlmostEqualRelative(mb[0, 0], b[0], 13);
@@ -914,7 +914,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraProviderTests.Double
 
             NotModified(3, 2, a, matrix);
 
-            var mb = new DenseMatrix(matrix.RowCount, 2, b);
+            var mb = Matrix<double>.Build.Dense(matrix.RowCount, 2, b);
             var test = (matrix.Transpose()*matrix).Inverse()*matrix.Transpose()*mb;
 
             AssertHelpers.AlmostEqualRelative(test[0, 0], x[0], 13);
@@ -941,7 +941,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraProviderTests.Double
 
             NotModified(3, 3, a, matrix);
 
-            var mx = new DenseMatrix(matrix.ColumnCount, 2, x);
+            var mx = Matrix<double>.Build.Dense(matrix.ColumnCount, 2, x);
             var mb = matrix*mx;
 
             AssertHelpers.AlmostEqualRelative(mb[0, 0], b[0], 13);
@@ -970,7 +970,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraProviderTests.Double
 
             NotModified(3, 2, a, matrix);
 
-            var mb = new DenseMatrix(matrix.RowCount, 2, b);
+            var mb = Matrix<double>.Build.Dense(matrix.RowCount, 2, b);
             var test = (matrix.Transpose()*matrix).Inverse()*matrix.Transpose()*mb;
 
             AssertHelpers.AlmostEqualRelative(test[0, 0], x[0], 13);
@@ -998,7 +998,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraProviderTests.Double
             var x = new double[matrix.ColumnCount*2];
             Control.LinearAlgebraProvider.QRSolveFactored(q, a, matrix.RowCount, matrix.ColumnCount, tau, b, 2, x);
 
-            var mx = new DenseMatrix(matrix.ColumnCount, 2, x);
+            var mx = Matrix<double>.Build.Dense(matrix.ColumnCount, 2, x);
             var mb = matrix*mx;
 
             AssertHelpers.AlmostEqualRelative(mb[0, 0], b[0], 13);
@@ -1028,7 +1028,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraProviderTests.Double
             var x = new double[matrix.ColumnCount*2];
             Control.LinearAlgebraProvider.QRSolveFactored(q, a, matrix.RowCount, matrix.ColumnCount, tau, b, 2, x);
 
-            var mb = new DenseMatrix(matrix.RowCount, 2, b);
+            var mb = Matrix<double>.Build.Dense(matrix.RowCount, 2, b);
             var test = (matrix.Transpose()*matrix).Inverse()*matrix.Transpose()*mb;
 
             AssertHelpers.AlmostEqualRelative(test[0, 0], x[0], 13);
@@ -1057,7 +1057,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraProviderTests.Double
             var x = new double[matrix.ColumnCount*2];
             Control.LinearAlgebraProvider.QRSolveFactored(q, a, matrix.RowCount, matrix.ColumnCount, tau, b, 2, x, work);
 
-            var mx = new DenseMatrix(matrix.ColumnCount, 2, x);
+            var mx = Matrix<double>.Build.Dense(matrix.ColumnCount, 2, x);
             var mb = matrix*mx;
 
             AssertHelpers.AlmostEqualRelative(mb[0, 0], b[0], 13);
@@ -1088,7 +1088,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraProviderTests.Double
             var x = new double[matrix.ColumnCount*2];
             Control.LinearAlgebraProvider.QRSolveFactored(q, a, matrix.RowCount, matrix.ColumnCount, tau, b, 2, x, work);
 
-            var mb = new DenseMatrix(matrix.RowCount, 2, b);
+            var mb = Matrix<double>.Build.Dense(matrix.RowCount, 2, b);
             var test = (matrix.Transpose()*matrix).Inverse()*matrix.Transpose()*mb;
 
             AssertHelpers.AlmostEqualRelative(test[0, 0], x[0], 13);
@@ -1113,7 +1113,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraProviderTests.Double
 
             NotModified(3, 3, a, matrix);
 
-            var mx = new DenseMatrix(matrix.ColumnCount, 2, x);
+            var mx = Matrix<double>.Build.Dense(matrix.ColumnCount, 2, x);
             var mb = matrix*mx;
 
             AssertHelpers.AlmostEqualRelative(mb[0, 0], b[0], 13);
@@ -1140,7 +1140,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraProviderTests.Double
 
             NotModified(3, 2, a, matrix);
 
-            var mb = new DenseMatrix(matrix.RowCount, 2, b);
+            var mb = Matrix<double>.Build.Dense(matrix.RowCount, 2, b);
             var test = (matrix.Transpose()*matrix).Inverse()*matrix.Transpose()*mb;
 
             AssertHelpers.AlmostEqualRelative(test[0, 0], x[0], 13);
@@ -1167,7 +1167,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraProviderTests.Double
 
             NotModified(3, 3, a, matrix);
 
-            var mx = new DenseMatrix(matrix.ColumnCount, 2, x);
+            var mx = Matrix<double>.Build.Dense(matrix.ColumnCount, 2, x);
             var mb = matrix*mx;
 
             AssertHelpers.AlmostEqualRelative(mb[0, 0], b[0], 13);
@@ -1196,7 +1196,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraProviderTests.Double
 
             NotModified(3, 2, a, matrix);
 
-            var mb = new DenseMatrix(matrix.RowCount, 2, b);
+            var mb = Matrix<double>.Build.Dense(matrix.RowCount, 2, b);
             var test = (matrix.Transpose()*matrix).Inverse()*matrix.Transpose()*mb;
 
             AssertHelpers.AlmostEqualRelative(test[0, 0], x[0], 13);
@@ -1224,7 +1224,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraProviderTests.Double
             var x = new double[matrix.ColumnCount*2];
             Control.LinearAlgebraProvider.QRSolveFactored(a, r, matrix.RowCount, matrix.ColumnCount, tau, b, 2, x, QRMethod.Thin);
 
-            var mx = new DenseMatrix(matrix.ColumnCount, 2, x);
+            var mx = Matrix<double>.Build.Dense(matrix.ColumnCount, 2, x);
             var mb = matrix*mx;
 
             AssertHelpers.AlmostEqualRelative(mb[0, 0], b[0], 13);
@@ -1254,7 +1254,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraProviderTests.Double
             var x = new double[matrix.ColumnCount*2];
             Control.LinearAlgebraProvider.QRSolveFactored(a, r, matrix.RowCount, matrix.ColumnCount, tau, b, 2, x, QRMethod.Thin);
 
-            var mb = new DenseMatrix(matrix.RowCount, 2, b);
+            var mb = Matrix<double>.Build.Dense(matrix.RowCount, 2, b);
             var test = (matrix.Transpose()*matrix).Inverse()*matrix.Transpose()*mb;
 
             AssertHelpers.AlmostEqualRelative(test[0, 0], x[0], 13);
@@ -1283,7 +1283,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraProviderTests.Double
             var x = new double[matrix.ColumnCount*2];
             Control.LinearAlgebraProvider.QRSolveFactored(a, r, matrix.RowCount, matrix.ColumnCount, tau, b, 2, x, work, QRMethod.Thin);
 
-            var mx = new DenseMatrix(matrix.ColumnCount, 2, x);
+            var mx = Matrix<double>.Build.Dense(matrix.ColumnCount, 2, x);
             var mb = matrix*mx;
 
             AssertHelpers.AlmostEqualRelative(mb[0, 0], b[0], 13);
@@ -1314,7 +1314,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraProviderTests.Double
             var x = new double[matrix.ColumnCount*2];
             Control.LinearAlgebraProvider.QRSolveFactored(a, r, matrix.RowCount, matrix.ColumnCount, tau, b, 2, x, work, QRMethod.Thin);
 
-            var mb = new DenseMatrix(matrix.RowCount, 2, b);
+            var mb = Matrix<double>.Build.Dense(matrix.RowCount, 2, b);
             var test = (matrix.Transpose()*matrix).Inverse()*matrix.Transpose()*mb;
 
             AssertHelpers.AlmostEqualRelative(test[0, 0], x[0], 13);
@@ -1345,8 +1345,8 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraProviderTests.Double
                 w[index, index] = s[index];
             }
 
-            var mU = new DenseMatrix(matrix.RowCount, matrix.RowCount, u);
-            var mV = new DenseMatrix(matrix.ColumnCount, matrix.ColumnCount, vt);
+            var mU = Matrix<double>.Build.Dense(matrix.RowCount, matrix.RowCount, u);
+            var mV = Matrix<double>.Build.Dense(matrix.ColumnCount, matrix.ColumnCount, vt);
             var result = mU*w*mV;
 
             AssertHelpers.AlmostEqualRelative(matrix[0, 0], result[0, 0], 14);
@@ -1382,8 +1382,8 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraProviderTests.Double
                 w[index, index] = s[index];
             }
 
-            var mU = new DenseMatrix(matrix.RowCount, matrix.RowCount, u);
-            var mV = new DenseMatrix(matrix.ColumnCount, matrix.ColumnCount, vt);
+            var mU = Matrix<double>.Build.Dense(matrix.RowCount, matrix.RowCount, u);
+            var mV = Matrix<double>.Build.Dense(matrix.ColumnCount, matrix.ColumnCount, vt);
             var result = mU*w*mV;
 
             AssertHelpers.AlmostEqualRelative(matrix[0, 0], result[0, 0], 14);
@@ -1416,8 +1416,8 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraProviderTests.Double
                 w[index, index] = s[index];
             }
 
-            var mU = new DenseMatrix(matrix.RowCount, matrix.RowCount, u);
-            var mV = new DenseMatrix(matrix.ColumnCount, matrix.ColumnCount, vt);
+            var mU = Matrix<double>.Build.Dense(matrix.RowCount, matrix.RowCount, u);
+            var mV = Matrix<double>.Build.Dense(matrix.ColumnCount, matrix.ColumnCount, vt);
             var result = mU*w*mV;
 
             AssertHelpers.AlmostEqualRelative(matrix[0, 0], result[0, 0], 14);
@@ -1452,8 +1452,8 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraProviderTests.Double
                 w[index, index] = s[index];
             }
 
-            var mU = new DenseMatrix(matrix.RowCount, matrix.RowCount, u);
-            var mV = new DenseMatrix(matrix.ColumnCount, matrix.ColumnCount, vt);
+            var mU = Matrix<double>.Build.Dense(matrix.RowCount, matrix.RowCount, u);
+            var mV = Matrix<double>.Build.Dense(matrix.ColumnCount, matrix.ColumnCount, vt);
             var result = mU*w*mV;
 
             AssertHelpers.AlmostEqualRelative(matrix[0, 0], result[0, 0], 14);
@@ -1491,8 +1491,8 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraProviderTests.Double
                 w[index, index] = s[index];
             }
 
-            var mU = new DenseMatrix(matrix.RowCount, matrix.RowCount, u);
-            var mV = new DenseMatrix(matrix.ColumnCount, matrix.ColumnCount, vt);
+            var mU = Matrix<double>.Build.Dense(matrix.RowCount, matrix.RowCount, u);
+            var mV = Matrix<double>.Build.Dense(matrix.ColumnCount, matrix.ColumnCount, vt);
             var result = mU*w*mV;
 
             AssertHelpers.AlmostEqualRelative(matrix[0, 0], result[0, 0], 14);
@@ -1527,8 +1527,8 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraProviderTests.Double
                 w[index, index] = s[index];
             }
 
-            var mU = new DenseMatrix(matrix.RowCount, matrix.RowCount, u);
-            var mV = new DenseMatrix(matrix.ColumnCount, matrix.ColumnCount, vt);
+            var mU = Matrix<double>.Build.Dense(matrix.RowCount, matrix.RowCount, u);
+            var mV = Matrix<double>.Build.Dense(matrix.ColumnCount, matrix.ColumnCount, vt);
             var result = mU*w*mV;
 
             AssertHelpers.AlmostEqualRelative(matrix[0, 0], result[0, 0], 14);
@@ -1555,7 +1555,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraProviderTests.Double
 
             NotModified(3, 3, a, matrix);
 
-            var mx = new DenseMatrix(matrix.ColumnCount, 2, x);
+            var mx = Matrix<double>.Build.Dense(matrix.ColumnCount, 2, x);
             var mb = matrix*mx;
 
             AssertHelpers.AlmostEqual(mb[0, 0], b[0], 13);
@@ -1582,7 +1582,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraProviderTests.Double
 
             NotModified(3, 2, a, matrix);
 
-            var mb = new DenseMatrix(matrix.RowCount, 2, b);
+            var mb = Matrix<double>.Build.Dense(matrix.RowCount, 2, b);
             var test = (matrix.Transpose()*matrix).Inverse()*matrix.Transpose()*mb;
 
             AssertHelpers.AlmostEqual(test[0, 0], x[0], 14);
@@ -1612,7 +1612,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraProviderTests.Double
             var x = new double[matrix.ColumnCount*2];
             Control.LinearAlgebraProvider.SvdSolveFactored(matrix.RowCount, matrix.ColumnCount, s, u, vt, b, 2, x);
 
-            var mx = new DenseMatrix(matrix.ColumnCount, 2, x);
+            var mx = Matrix<double>.Build.Dense(matrix.ColumnCount, 2, x);
             var mb = matrix*mx;
 
             AssertHelpers.AlmostEqual(mb[0, 0], b[0], 13);
@@ -1644,7 +1644,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraProviderTests.Double
             var x = new double[matrix.ColumnCount*2];
             Control.LinearAlgebraProvider.SvdSolveFactored(matrix.RowCount, matrix.ColumnCount, s, u, vt, b, 2, x);
 
-            var mb = new DenseMatrix(matrix.RowCount, 2, b);
+            var mb = Matrix<double>.Build.Dense(matrix.RowCount, 2, b);
             var test = (matrix.Transpose()*matrix).Inverse()*matrix.Transpose()*mb;
 
             AssertHelpers.AlmostEqual(test[0, 0], x[0], 14);

src/UnitTests/LinearAlgebraTests/Double/DenseMatrixTests.cs

@@ -70,11 +70,11 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double
         {
             var testData = new Dictionary<string, Matrix<double>>
                 {
-                    {"Singular3x3", new DenseMatrix(3, 3, new[] {1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 2.0, 2.0, 2.0})},
-                    {"Square3x3", new DenseMatrix(3, 3, new[] {-1.1, 0.0, -4.4, -2.2, 1.1, 5.5, -3.3, 2.2, 6.6})},
-                    {"Square4x4", new DenseMatrix(4, 4, new[] {-1.1, 0.0, 1.0, -4.4, -2.2, 1.1, 2.1, 5.5, -3.3, 2.2, 6.2, 6.6, -4.4, 3.3, 4.3, -7.7})},
-                    {"Tall3x2", new DenseMatrix(3, 2, new[] {-1.1, 0.0, -4.4, -2.2, 1.1, 5.5})},
-                    {"Wide2x3", new DenseMatrix(2, 3, new[] {-1.1, 0.0, -2.2, 1.1, -3.3, 2.2})}
+                    {"Singular3x3", Matrix<double>.Build.Dense(3, 3, new[] {1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 2.0, 2.0, 2.0})},
+                    {"Square3x3", Matrix<double>.Build.Dense(3, 3, new[] {-1.1, 0.0, -4.4, -2.2, 1.1, 5.5, -3.3, 2.2, 6.6})},
+                    {"Square4x4", Matrix<double>.Build.Dense(4, 4, new[] {-1.1, 0.0, 1.0, -4.4, -2.2, 1.1, 2.1, 5.5, -3.3, 2.2, 6.2, 6.6, -4.4, 3.3, 4.3, -7.7})},
+                    {"Tall3x2", Matrix<double>.Build.Dense(3, 2, new[] {-1.1, 0.0, -4.4, -2.2, 1.1, 5.5})},
+                    {"Wide2x3", Matrix<double>.Build.Dense(2, 3, new[] {-1.1, 0.0, -2.2, 1.1, -3.3, 2.2})}
                 };
 
             foreach (var name in testData.Keys)
@@ -90,7 +90,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double
         public void MatrixFrom1DArrayIsReference()
         {
             var data = new double[] {1, 1, 1, 1, 1, 1, 2, 2, 2};
-            var matrix = new DenseMatrix(3, 3, data);
+            var matrix = Matrix<double>.Build.Dense(3, 3, data);
             matrix[0, 0] = 10.0;
             Assert.AreEqual(10.0, data[0]);
         }

src/UnitTests/LinearAlgebraTests/Double/DenseVectorTests.cs

@@ -152,7 +152,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double
         [Test]
         public void CanCreateDenseMatrix()
         {
-            var vector = new DenseVector(3);
+            var vector = Vector<double>.Build.Dense(3);
             var matrix = Matrix<double>.Build.SameAs(vector, 2, 3);
             Assert.IsInstanceOf<DenseMatrix>(matrix);
             Assert.AreEqual(2, matrix.RowCount);
@@ -189,7 +189,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double
         [Test]
         public void CanCallUnaryPlusOperatorOnDenseVector()
         {
-            var vector = new DenseVector(Data);
+            var vector = Vector<double>.Build.Dense(Data);
             var other = +vector;
             for (var i = 0; i < Data.Length; i++)
             {
@@ -203,8 +203,8 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double
         [Test]
         public void CanAddTwoDenseVectorsUsingOperator()
         {
-            var vector = new DenseVector(Data);
-            var other = new DenseVector(Data);
+            var vector = Vector<double>.Build.Dense(Data);
+            var other = Vector<double>.Build.Dense(Data);
             var result = vector + other;
             CollectionAssert.AreEqual(Data, vector, "Making sure the original vector wasn't modified.");
             CollectionAssert.AreEqual(Data, other, "Making sure the original vector wasn't modified.");
@@ -221,7 +221,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double
         [Test]
         public void CanCallUnaryNegationOperatorOnDenseVector()
         {
-            var vector = new DenseVector(Data);
+            var vector = Vector<double>.Build.Dense(Data);
             var other = -vector;
             for (var i = 0; i < Data.Length; i++)
             {
@@ -235,8 +235,8 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double
         [Test]
         public void CanSubtractTwoDenseVectorsUsingOperator()
         {
-            var vector = new DenseVector(Data);
-            var other = new DenseVector(Data);
+            var vector = Vector<double>.Build.Dense(Data);
+            var other = Vector<double>.Build.Dense(Data);
             var result = vector - other;
             CollectionAssert.AreEqual(Data, vector, "Making sure the original vector wasn't modified.");
             CollectionAssert.AreEqual(Data, other, "Making sure the original vector wasn't modified.");
@@ -253,7 +253,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double
         [Test]
         public void CanMultiplyDenseVectorByScalarUsingOperators()
         {
-            var vector = new DenseVector(Data);
+            var vector = Vector<double>.Build.Dense(Data);
             vector = vector * 2.0;
 
             for (var i = 0; i < Data.Length; i++)
@@ -267,7 +267,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double
                 Assert.AreEqual(Data[i] * 2.0, vector[i]);
             }
 
-            vector = new DenseVector(Data);
+            vector = Vector<double>.Build.Dense(Data);
             vector = 2.0 * vector;
 
             for (var i = 0; i < Data.Length; i++)
@@ -288,7 +288,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double
         [Test]
         public void CanDivideDenseVectorByScalarUsingOperators()
         {
-            var vector = new DenseVector(Data);
+            var vector = Vector<double>.Build.Dense(Data);
             vector = vector / 2.0;
 
             for (var i = 0; i < Data.Length; i++)

src/UnitTests/LinearAlgebraTests/Double/DiagonalMatrixTests.cs

@@ -375,13 +375,13 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double
             // [ 0 0 ]
             // [ 2 0 ]
             var subM2 = diagMatrix.SubMatrix(0, 2, 1, 2);
-            Assert.IsTrue(subM2.Equals(new DenseMatrix(2, 2, new[] {0d, 2d, 0d, 0d})));
+            Assert.IsTrue(subM2.Equals(Matrix<double>.Build.Dense(2, 2, new[] { 0d, 2d, 0d, 0d })));
 
             // [ 0 0 ]
             // [ 2 0 ]
             // [ 0 3 ]
             var subM3 = diagMatrix.SubMatrix(0, 3, 1, 2);
-            Assert.IsTrue(subM3.Equals(new DenseMatrix(3, 2, new[] {0d, 2d, 0d, 0d, 0d, 3d})));
+            Assert.IsTrue(subM3.Equals(Matrix<double>.Build.Dense(3, 2, new[] { 0d, 2d, 0d, 0d, 0d, 3d })));
         }
 
         [Test]

src/UnitTests/LinearAlgebraTests/Double/Factorization/CholeskyTests.cs

@@ -77,7 +77,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double.Factorization
         [Test]
         public void CholeskyFailsWithNonSquareMatrix()
         {
-            var matrix = new DenseMatrix(3, 2);
+            var matrix = Matrix<double>.Build.Dense(3, 2);
             Assert.That(() => matrix.Cholesky(), Throws.ArgumentException);
         }
 
@@ -281,7 +281,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double.Factorization
             var chol = matrixA.Cholesky();
             var matrixB = Matrix<double>.Build.Random(row, col, 1);
             var matrixBCopy = matrixB.Clone();
-            var matrixX = new DenseMatrix(row, col);
+            var matrixX = Matrix<double>.Build.Dense(row, col);
             chol.Solve(matrixB, matrixX);
 
             Assert.AreEqual(matrixB.RowCount, matrixX.RowCount);

src/UnitTests/LinearAlgebraTests/Double/Factorization/EvdTests.cs

@@ -116,7 +116,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double.Factorization
         [Test]
         public void CanCheckRankOfSquareSingular([Values(10, 50, 100)] int order)
         {
-            var A = new DenseMatrix(order, order);
+            var A = Matrix<double>.Build.Dense(order, order);
             A[0, 0] = 1;
             A[order - 1, order - 1] = 1;
             for (var i = 1; i < order - 1; i++)
@@ -245,7 +245,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double.Factorization
             var B = Matrix<double>.Build.Random(order, order, 2);
             var BCopy = B.Clone();
 
-            var X = new DenseMatrix(order, order);
+            var X = Matrix<double>.Build.Dense(order, order);
             evd.Solve(B, X);
 
             // The solution X row dimension is equal to the column dimension of A

src/UnitTests/LinearAlgebraTests/Double/Factorization/GramSchmidtTests.cs

@@ -43,7 +43,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double.Factorization
         [Test]
         public void ConstructorWideMatrixThrowsInvalidMatrixOperationException()
         {
-            Assert.That(() => DenseGramSchmidt.Create(new DenseMatrix(3, 4)), Throws.ArgumentException);
+            Assert.That(() => DenseGramSchmidt.Create(Matrix<double>.Build.Dense(3, 4)), Throws.ArgumentException);
         }
 
         /// <summary>
@@ -293,7 +293,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double.Factorization
             var matrixB = Matrix<double>.Build.Random(order, order, 1);
             var matrixBCopy = matrixB.Clone();
 
-            var matrixX = new DenseMatrix(order, order);
+            var matrixX = Matrix<double>.Build.Dense(order, order);
             factorGramSchmidt.Solve(matrixB, matrixX);
 
             // The solution X row dimension is equal to the column dimension of A

src/UnitTests/LinearAlgebraTests/Double/Factorization/LUTests.cs

@@ -79,7 +79,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double.Factorization
         [Test]
         public void LUFailsWithNonSquareMatrix()
         {
-            var matrix = new DenseMatrix(3, 2);
+            var matrix = Matrix<double>.Build.Dense(3, 2);
             Assert.That(() => matrix.LU(), Throws.ArgumentException);
         }
 
@@ -302,7 +302,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double.Factorization
             var matrixB = Matrix<double>.Build.Random(order, order, 1);
             var matrixBCopy = matrixB.Clone();
 
-            var matrixX = new DenseMatrix(order, order);
+            var matrixX = Matrix<double>.Build.Dense(order, order);
             factorLU.Solve(matrixB, matrixX);
 
             // The solution X row dimension is equal to the column dimension of A

src/UnitTests/LinearAlgebraTests/Double/Factorization/QRTests.cs

@@ -45,7 +45,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double.Factorization
         [Test]
         public void ConstructorWideMatrixThrowsInvalidMatrixOperationException()
         {
-            Assert.That(() => UserQR.Create(new DenseMatrix(3, 4)), Throws.ArgumentException);
+            Assert.That(() => UserQR.Create(Matrix<double>.Build.Dense(3, 4)), Throws.ArgumentException);
         }
 
         /// <summary>
@@ -394,7 +394,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double.Factorization
             var matrixB = Matrix<double>.Build.Random(order, order, 1);
             var matrixBCopy = matrixB.Clone();
 
-            var matrixX = new DenseMatrix(order, order);
+            var matrixX = Matrix<double>.Build.Dense(order, order);
             factorQR.Solve(matrixB, matrixX);
 
             // The solution X row dimension is equal to the column dimension of A
@@ -583,7 +583,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double.Factorization
             var matrixB = Matrix<double>.Build.Random(order, order, 1);
             var matrixBCopy = matrixB.Clone();
 
-            var matrixX = new DenseMatrix(order, order);
+            var matrixX = Matrix<double>.Build.Dense(order, order);
             factorQR.Solve(matrixB, matrixX);
 
             // The solution X row dimension is equal to the column dimension of A

src/UnitTests/LinearAlgebraTests/Double/Factorization/SvdTests.cs

@@ -163,7 +163,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double.Factorization
         [TestCase(100)]
         public void CanCheckRankOfSquareSingular(int order)
         {
-            var matrixA = new DenseMatrix(order, order);
+            var matrixA = Matrix<double>.Build.Dense(order, order);
             matrixA[0, 0] = 1;
             matrixA[order - 1, order - 1] = 1;
             for (var i = 1; i < order - 1; i++)
@@ -358,7 +358,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double.Factorization
             var matrixB = Matrix<double>.Build.Random(row, column, 1);
             var matrixBCopy = matrixB.Clone();
 
-            var matrixX = new DenseMatrix(column, column);
+            var matrixX = Matrix<double>.Build.Dense(column, column);
             factorSvd.Solve(matrixB, matrixX);
 
             // The solution X row dimension is equal to the column dimension of A

src/UnitTests/LinearAlgebraTests/Double/MatrixTests.Arithmetic.cs

@@ -66,7 +66,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double
         public void CanMultiplyWithVector()
         {
             var matrix = TestMatrices["Singular3x3"];
-            var x = new DenseVector(new[] { 1.0, 2.0, 3.0 });
+            var x = Vector<double>.Build.Dense(new[] { 1.0, 2.0, 3.0 });
             var y = matrix*x;
 
             Assert.AreEqual(matrix.RowCount, y.Count);
@@ -86,8 +86,8 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double
         public void CanMultiplyWithVectorIntoResult()
         {
             var matrix = TestMatrices["Singular3x3"];
-            var x = new DenseVector(new[] { 1.0, 2.0, 3.0 });
-            var y = new DenseVector(3);
+            var x = Vector<double>.Build.Dense(new[] { 1.0, 2.0, 3.0 });
+            var y = Vector<double>.Build.Dense(3);
             matrix.Multiply(x, y);
 
             for (var i = 0; i < matrix.RowCount; i++)
@@ -105,13 +105,13 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double
         public void CanMultiplyWithVectorIntoResultWhenUpdatingInputArgument()
         {
             var matrix = TestMatrices["Singular3x3"];
-            var x = new DenseVector(new[] { 1.0, 2.0, 3.0 });
+            var x = Vector<double>.Build.Dense(new[] { 1.0, 2.0, 3.0 });
             var y = x;
             matrix.Multiply(x, x);
 
             Assert.AreSame(y, x);
 
-            y = new DenseVector(new[] { 1.0, 2.0, 3.0 });
+            y = Vector<double>.Build.Dense(new[] { 1.0, 2.0, 3.0 });
             for (var i = 0; i < matrix.RowCount; i++)
             {
                 var ar = matrix.Row(i);
@@ -127,8 +127,8 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double
         public void MultiplyWithVectorIntoLargerResultThrowsArgumentException()
         {
             var matrix = TestMatrices["Singular3x3"];
-            var x = new DenseVector(new[] { 1.0, 2.0, 3.0 });
-            Vector<double> y = new DenseVector(4);
+            var x = Vector<double>.Build.Dense(new[] { 1.0, 2.0, 3.0 });
+            Vector<double> y = Vector<double>.Build.Dense(4);
             Assert.That(() => matrix.Multiply(x, y), Throws.ArgumentException);
         }
 
@@ -569,7 +569,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double
         public void CanTransposeThisAndMultiplyWithVector()
         {
             var matrix = TestMatrices["Singular3x3"];
-            var x = new DenseVector(new[] { 1.0, 2.0, 3.0 });
+            var x = Vector<double>.Build.Dense(new[] { 1.0, 2.0, 3.0 });
             var y = matrix.TransposeThisAndMultiply(x);
 
             Assert.AreEqual(matrix.ColumnCount, y.Count);
@@ -589,8 +589,8 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double
         public void CanTransposeThisAndMultiplyWithVectorIntoResult()
         {
             var matrix = TestMatrices["Singular3x3"];
-            var x = new DenseVector(new[] { 1.0, 2.0, 3.0 });
-            var y = new DenseVector(3);
+            var x = Vector<double>.Build.Dense(new[] { 1.0, 2.0, 3.0 });
+            var y = Vector<double>.Build.Dense(3);
             matrix.TransposeThisAndMultiply(x, y);
 
             for (var j = 0; j < matrix.ColumnCount; j++)
@@ -608,13 +608,13 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double
         public void CanTransposeThisAndMultiplyWithVectorIntoResultWhenUpdatingInputArgument()
         {
             var matrix = TestMatrices["Singular3x3"];
-            var x = new DenseVector(new[] { 1.0, 2.0, 3.0 });
+            var x = Vector<double>.Build.Dense(new[] { 1.0, 2.0, 3.0 });
             var y = x;
             matrix.TransposeThisAndMultiply(x, x);
 
             Assert.AreSame(y, x);
 
-            y = new DenseVector(new[] { 1.0, 2.0, 3.0 });
+            y = Vector<double>.Build.Dense(new[] { 1.0, 2.0, 3.0 });
             for (var j = 0; j < matrix.ColumnCount; j++)
             {
                 var ar = matrix.Column(j);
@@ -630,8 +630,8 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double
         public void TransposeThisAndMultiplyWithVectorIntoLargerResultThrowsArgumentException()
         {
             var matrix = TestMatrices["Singular3x3"];
-            var x = new DenseVector(new[] { 1.0, 2.0, 3.0 });
-            Vector<double> y = new DenseVector(4);
+            var x = Vector<double>.Build.Dense(new[] { 1.0, 2.0, 3.0 });
+            Vector<double> y = Vector<double>.Build.Dense(4);
             Assert.That(() => matrix.TransposeThisAndMultiply(x, y), Throws.ArgumentException);
         }
 

src/UnitTests/LinearAlgebraTests/Double/Solvers/StopCriterion/DivergenceStopCriteriumTest.cs

@@ -103,9 +103,9 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double.Solvers.StopCrite
             {
                 var status = criterion.DetermineStatus(
                     i,
-                    new DenseVector(new[] { 1.0 }),
-                    new DenseVector(new[] { 1.0 }),
-                    new DenseVector(new[] { (i + 1)*(Increase + 0.1) }));
+                    Vector<double>.Build.Dense(new[] { 1.0 }),
+                    Vector<double>.Build.Dense(new[] { 1.0 }),
+                    Vector<double>.Build.Dense(new[] { (i + 1)*(Increase + 0.1) }));
 
                 Assert.AreEqual(IterationStatus.Continue, status, "Status check fail.");
             }
@@ -127,9 +127,9 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double.Solvers.StopCrite
             {
                 var status = criterion.DetermineStatus(
                     i,
-                    new DenseVector(new[] { 1.0 }),
-                    new DenseVector(new[] { 1.0 }),
-                    new DenseVector(new[] { (i + 1)*(Increase - 0.01) }));
+                    Vector<double>.Build.Dense(new[] { 1.0 }),
+                    Vector<double>.Build.Dense(new[] { 1.0 }),
+                    Vector<double>.Build.Dense(new[] { (i + 1)*(Increase - 0.01) }));
 
                 Assert.AreEqual(IterationStatus.Continue, status, "Status check fail.");
             }
@@ -151,9 +151,9 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double.Solvers.StopCrite
             {
                 var status = criterion.DetermineStatus(
                     i,
-                    new DenseVector(new[] { 1.0 }),
-                    new DenseVector(new[] { 1.0 }),
-                    new DenseVector(new[] { (i + 1)*(Increase - 0.01) }));
+                    Vector<double>.Build.Dense(new[] { 1.0 }),
+                    Vector<double>.Build.Dense(new[] { 1.0 }),
+                    Vector<double>.Build.Dense(new[] { (i + 1)*(Increase - 0.01) }));
 
                 Assert.AreEqual(IterationStatus.Continue, status, "Status check fail.");
             }
@@ -161,9 +161,9 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double.Solvers.StopCrite
             // Now make it fail by throwing in a NaN
             var status2 = criterion.DetermineStatus(
                 Iterations,
-                new DenseVector(new[] { 1.0 }),
-                new DenseVector(new[] { 1.0 }),
-                new DenseVector(new[] { double.NaN }));
+                Vector<double>.Build.Dense(new[] { 1.0 }),
+                Vector<double>.Build.Dense(new[] { 1.0 }),
+                Vector<double>.Build.Dense(new[] { double.NaN }));
 
             Assert.AreEqual(IterationStatus.Diverged, status2, "Status check fail.");
         }
@@ -186,9 +186,9 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double.Solvers.StopCrite
                 previous *= 1 + Increase + 0.01;
                 var status = criterion.DetermineStatus(
                     i,
-                    new DenseVector(new[] { 1.0 }),
-                    new DenseVector(new[] { 1.0 }),
-                    new DenseVector(new[] { previous }));
+                    Vector<double>.Build.Dense(new[] { 1.0 }),
+                    Vector<double>.Build.Dense(new[] { 1.0 }),
+                    Vector<double>.Build.Dense(new[] { previous }));
 
                 Assert.AreEqual(IterationStatus.Continue, status, "Status check fail.");
             }
@@ -197,9 +197,9 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double.Solvers.StopCrite
             previous *= 1 + Increase + 0.01;
             var status2 = criterion.DetermineStatus(
                 Iterations - 1,
-                new DenseVector(new[] { 1.0 }),
-                new DenseVector(new[] { 1.0 }),
-                new DenseVector(new[] { previous }));
+                Vector<double>.Build.Dense(new[] { 1.0 }),
+                Vector<double>.Build.Dense(new[] { 1.0 }),
+                Vector<double>.Build.Dense(new[] { previous }));
 
             Assert.AreEqual(IterationStatus.Diverged, status2, "Status check fail.");
         }
@@ -218,9 +218,9 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double.Solvers.StopCrite
             // Add residuals. Blow it up instantly
             var status = criterion.DetermineStatus(
                 1,
-                new DenseVector(new[] { 1.0 }),
-                new DenseVector(new[] { 1.0 }),
-                new DenseVector(new[] { double.NaN }));
+                Vector<double>.Build.Dense(new[] { 1.0 }),
+                Vector<double>.Build.Dense(new[] { 1.0 }),
+                Vector<double>.Build.Dense(new[] { double.NaN }));
 
             Assert.AreEqual(IterationStatus.Diverged, status, "Status check fail.");
 

src/UnitTests/LinearAlgebraTests/Double/Solvers/StopCriterion/FailureStopCriteriumTest.cs

@@ -85,9 +85,9 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double.Solvers.StopCrite
             var criterion = new FailureStopCriterion<double>();
             Assert.IsNotNull(criterion, "There should be a criterion");
 
-            var solution = new DenseVector(new[] { 1.0, 1.0, 2.0 });
-            var source = new DenseVector(new[] { 1001.0, 0, 2003.0 });
-            var residual = new DenseVector(new[] { 1000, double.NaN, 2001 });
+            var solution = Vector<double>.Build.Dense(new[] { 1.0, 1.0, 2.0 });
+            var source = Vector<double>.Build.Dense(new[] { 1001.0, 0, 2003.0 });
+            var residual = Vector<double>.Build.Dense(new[] { 1000, double.NaN, 2001 });
 
             var status = criterion.DetermineStatus(5, solution, source, residual);
             Assert.AreEqual(IterationStatus.Failure, status, "Should be failed");
@@ -102,9 +102,9 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double.Solvers.StopCrite
             var criterion = new FailureStopCriterion<double>();
             Assert.IsNotNull(criterion, "There should be a criterion");
 
-            var solution = new DenseVector(new[] { 1.0, 1.0, double.NaN });
-            var source = new DenseVector(new[] { 1001.0, 0.0, 2003.0 });
-            var residual = new DenseVector(new[] { 1000.0, 1000.0, 2001.0 });
+            var solution = Vector<double>.Build.Dense(new[] { 1.0, 1.0, double.NaN });
+            var source = Vector<double>.Build.Dense(new[] { 1001.0, 0.0, 2003.0 });
+            var residual = Vector<double>.Build.Dense(new[] { 1000.0, 1000.0, 2001.0 });
 
             var status = criterion.DetermineStatus(5, solution, source, residual);
             Assert.AreEqual(IterationStatus.Failure, status, "Should be failed");
@@ -119,9 +119,9 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double.Solvers.StopCrite
             var criterion = new FailureStopCriterion<double>();
             Assert.IsNotNull(criterion, "There should be a criterion");
 
-            var solution = new DenseVector(new[] { 3.0, 2.0, 1.0 });
-            var source = new DenseVector(new[] { 1001.0, 0.0, 2003.0 });
-            var residual = new DenseVector(new[] { 1.0, 2.0, 3.0 });
+            var solution = Vector<double>.Build.Dense(new[] { 3.0, 2.0, 1.0 });
+            var source = Vector<double>.Build.Dense(new[] { 1001.0, 0.0, 2003.0 });
+            var residual = Vector<double>.Build.Dense(new[] { 1.0, 2.0, 3.0 });
 
             var status = criterion.DetermineStatus(5, solution, source, residual);
             Assert.AreEqual(IterationStatus.Continue, status, "Should be running");
@@ -136,9 +136,9 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double.Solvers.StopCrite
             var criterion = new FailureStopCriterion<double>();
             Assert.IsNotNull(criterion, "There should be a criterion");
 
-            var solution = new DenseVector(new[] { 1.0, 1.0, 2.0 });
-            var source = new DenseVector(new[] { 1001.0, 0.0, 2003.0 });
-            var residual = new DenseVector(new[] { 1000.0, 1000.0, 2001.0 });
+            var solution = Vector<double>.Build.Dense(new[] { 1.0, 1.0, 2.0 });
+            var source = Vector<double>.Build.Dense(new[] { 1001.0, 0.0, 2003.0 });
+            var residual = Vector<double>.Build.Dense(new[] { 1000.0, 1000.0, 2001.0 });
 
             var status = criterion.DetermineStatus(5, solution, source, residual);
             Assert.AreEqual(IterationStatus.Continue, status, "Should be running");

src/UnitTests/LinearAlgebraTests/Double/SparseMatrixTests.cs

@@ -213,7 +213,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double
             sparseResult.Add(sparseResult, sparseResult);
             Assert.IsTrue(sparseResult.Equals(2*sum1));
 
-            Matrix<double> denseResult = new DenseMatrix(1, 3);
+            Matrix<double> denseResult = Matrix<double>.Build.Dense(1, 3);
             denseResult.Add(m2, denseResult);
             Assert.IsTrue(denseResult.Equals(sum1));
 
@@ -257,7 +257,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double
             sparseResult.Subtract(sparseResult, sparseResult);
             Assert.IsTrue(sparseResult.Equals(0*diff1));
 
-            Matrix<double> denseResult = new DenseMatrix(1, 3);
+            Matrix<double> denseResult = Matrix<double>.Build.Dense(1, 3);
             denseResult.Subtract(m2, denseResult);
             Assert.IsTrue(denseResult.Equals(diff1));