Changed TensorProduct name to OuterProduct.

src/Numerics/LinearAlgebra/Complex/DenseVector.cs

@@ -1154,14 +1154,14 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         }
 
         /// <summary>
-        /// Tensor Product (Dyadic) of this and another vector.
+        /// Outer product of this and another vector.
         /// </summary>
         /// <param name="v">The vector to operate on.</param>
         /// <returns>
         /// Matrix M[i,j] = this[i] * v[j].
         /// </returns>
         /// <seealso cref="OuterProduct"/>
-        public Matrix<Complex> TensorMultiply(DenseVector v)
+        public Matrix<Complex> OuterProduct(DenseVector v)
         {
             return OuterProduct(this, v);
         }

src/Numerics/LinearAlgebra/Complex/SparseVector.cs

@@ -1206,14 +1206,14 @@ namespace MathNet.Numerics.LinearAlgebra.Complex
         }
 
         /// <summary>
-        /// Tensor Product (Outer) of this and another vector.
+        /// Outer product of this and another vector.
         /// </summary>
         /// <param name="v">The vector to operate on.</param>
         /// <returns>
         /// Matrix M[i,j] = this[i] * v[j].
         /// </returns>
         /// <seealso cref="OuterProduct"/>
-        public Matrix<Complex> TensorMultiply(SparseVector v)
+        public Matrix<Complex> OuterProduct(SparseVector v)
         {
             return OuterProduct(this, v);
         }

src/Numerics/LinearAlgebra/Complex32/DenseVector.cs

@@ -1154,14 +1154,14 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         }
 
         /// <summary>
-        /// Tensor Product (Dyadic) of this and another vector.
+        /// Outer product of this and another vector.
         /// </summary>
         /// <param name="v">The vector to operate on.</param>
         /// <returns>
         /// Matrix M[i,j] = this[i] * v[j].
         /// </returns>
         /// <seealso cref="OuterProduct"/>
-        public Matrix<Complex32> TensorMultiply(DenseVector v)
+        public Matrix<Complex32> OuterProduct(DenseVector v)
         {
             return OuterProduct(this, v);
         }

src/Numerics/LinearAlgebra/Complex32/SparseVector.cs

@@ -1206,14 +1206,14 @@ namespace MathNet.Numerics.LinearAlgebra.Complex32
         }
 
         /// <summary>
-        /// Tensor Product (Outer) of this and another vector.
+        /// Outer product of this and another vector.
         /// </summary>
         /// <param name="v">The vector to operate on.</param>
         /// <returns>
         /// Matrix M[i,j] = this[i] * v[j].
         /// </returns>
         /// <seealso cref="OuterProduct"/>
-        public Matrix<Complex32> TensorMultiply(SparseVector v)
+        public Matrix<Complex32> OuterProduct(SparseVector v)
         {
             return OuterProduct(this, v);
         }

src/Numerics/LinearAlgebra/Double/DenseVector.cs

@@ -1246,14 +1246,14 @@ namespace MathNet.Numerics.LinearAlgebra.Double
         }
 
         /// <summary>
-        /// Tensor Product (Dyadic) of this and another vector.
+        /// Outer product of this and another vector.
         /// </summary>
         /// <param name="v">The vector to operate on.</param>
         /// <returns>
         /// Matrix M[i,j] = this[i] * v[j].
         /// </returns>
         /// <seealso cref="OuterProduct"/>
-        public Matrix<double> TensorMultiply(DenseVector v)
+        public Matrix<double> OuterProduct(DenseVector v)
         {
             return OuterProduct(this, v);
         }

src/Numerics/LinearAlgebra/Double/SparseVector.cs

@@ -1205,14 +1205,14 @@ namespace MathNet.Numerics.LinearAlgebra.Double
         }
 
         /// <summary>
-        /// Tensor Product (Outer) of this and another vector.
+        /// Outer product of this and another vector.
         /// </summary>
         /// <param name="v">The vector to operate on.</param>
         /// <returns>
         /// Matrix M[i,j] = this[i] * v[j].
         /// </returns>
         /// <seealso cref="OuterProduct"/>
-        public Matrix<double> TensorMultiply(SparseVector v)
+        public Matrix<double> OuterProduct(SparseVector v)
         {
             return OuterProduct(this, v);
         }

src/Numerics/LinearAlgebra/Generic/Vector.cs

@@ -753,14 +753,14 @@ namespace MathNet.Numerics.LinearAlgebra.Generic
         public abstract Vector<T> Random(int length, IDiscreteDistribution randomDistribution);
 
         /// <summary>
-        /// Tensor Product (Dyadic) of this and another vector.
+        /// Outer product of this and another vector.
         /// </summary>
         /// <param name="v">The vector to operate on.</param>
         /// <returns>
         /// Matrix M[i,j] = this[i] * v[j].
         /// </returns>
         /// <seealso cref="OuterProduct"/>
-        public Matrix<T> TensorMultiply(Vector<T> v)
+        public Matrix<T> OuterProduct(Vector<T> v)
         {
             return OuterProduct(this, v);
         }

src/Numerics/LinearAlgebra/Single/DenseVector.cs

@@ -1246,14 +1246,14 @@ namespace MathNet.Numerics.LinearAlgebra.Single
         }
 
         /// <summary>
-        /// Tensor Product (Dyadic) of this and another vector.
+        /// Outer product of this and another vector.
         /// </summary>
         /// <param name="v">The vector to operate on.</param>
         /// <returns>
         /// Matrix M[i,j] = this[i] * v[j].
         /// </returns>
         /// <seealso cref="OuterProduct"/>
-        public Matrix<float> TensorMultiply(DenseVector v)
+        public Matrix<float> OuterProduct(DenseVector v)
         {
             return OuterProduct(this, v);
         }

src/Numerics/LinearAlgebra/Single/SparseVector.cs

@@ -1205,14 +1205,14 @@ namespace MathNet.Numerics.LinearAlgebra.Single
         }
 
         /// <summary>
-        /// Tensor Product (Outer) of this and another vector.
+        /// Outer product of this and another vector.
         /// </summary>
         /// <param name="v">The vector to operate on.</param>
         /// <returns>
         /// Matrix M[i,j] = this[i] * v[j].
         /// </returns>
         /// <seealso cref="OuterProduct"/>
-        public Matrix<float> TensorMultiply(SparseVector v)
+        public Matrix<float> OuterProduct(SparseVector v)
         {
             return OuterProduct(this, v);
         }

src/UnitTests/LinearAlgebraTests/Complex/VectorTests.Arithmetic.cs

@@ -880,7 +880,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Complex
         {
             var vector1 = CreateVector(Data);
             var vector2 = CreateVector(Data);
-            var m = vector1.TensorMultiply(vector2);
+            var m = vector1.OuterProduct(vector2);
             for (var i = 0; i < vector1.Count; i++)
             {
                 for (var j = 0; j < vector2.Count; j++)
@@ -896,7 +896,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Complex
         {
             var vector1 = CreateVector(Data);
             Vector<Complex> vector2 = null;
-            vector1.TensorMultiply(vector2);
+            vector1.OuterProduct(vector2);
         }
     }
 }

src/UnitTests/LinearAlgebraTests/Complex32/VectorTests.Arithmetic.cs

@@ -880,7 +880,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Complex32
         {
             var vector1 = CreateVector(Data);
             var vector2 = CreateVector(Data);
-            var m = vector1.TensorMultiply(vector2);
+            var m = vector1.OuterProduct(vector2);
             for (var i = 0; i < vector1.Count; i++)
             {
                 for (var j = 0; j < vector2.Count; j++)
@@ -896,7 +896,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Complex32
         {
             var vector1 = CreateVector(Data);
             Vector<Complex32> vector2 = null;
-            vector1.TensorMultiply(vector2);
+            vector1.OuterProduct(vector2);
         }
     }
 }

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

@@ -880,7 +880,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double
         {
             var vector1 = CreateVector(Data);
             var vector2 = CreateVector(Data);
-            var m = vector1.TensorMultiply(vector2);
+            var m = vector1.OuterProduct(vector2);
             for (var i = 0; i < vector1.Count; i++)
             {
                 for (var j = 0; j < vector2.Count; j++)
@@ -896,7 +896,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Double
         {
             var vector1 = CreateVector(Data);
             Vector<double> vector2 = null;
-            vector1.TensorMultiply(vector2);
+            vector1.OuterProduct(vector2);
         }
     }
 }

src/UnitTests/LinearAlgebraTests/Single/VectorTests.Arithmetic.cs

@@ -879,7 +879,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Single
         {
             var vector1 = CreateVector(Data);
             var vector2 = CreateVector(Data);
-            var m = vector1.TensorMultiply(vector2);
+            var m = vector1.OuterProduct(vector2);
             for (var i = 0; i < vector1.Count; i++)
             {
                 for (var j = 0; j < vector2.Count; j++)
@@ -895,7 +895,7 @@ namespace MathNet.Numerics.UnitTests.LinearAlgebraTests.Single
         {
             var vector1 = CreateVector(Data);
             Vector<float> vector2 = null;
-            vector1.TensorMultiply(vector2);
+            vector1.OuterProduct(vector2);
         }
     }
 }