diff --git a/src/Numerics/LinearAlgebra/Builder.cs b/src/Numerics/LinearAlgebra/Builder.cs index 88bc4fa9..46b1c9eb 100644 --- a/src/Numerics/LinearAlgebra/Builder.cs +++ b/src/Numerics/LinearAlgebra/Builder.cs @@ -446,7 +446,7 @@ namespace MathNet.Numerics.LinearAlgebra public abstract Matrix Random(int rows, int columns, IContinuousDistribution distribution); /// - /// Create a new dense matrix with values sampled from the standard distribution with a mersenne twister random source. + /// Create a new dense matrix with values sampled from the standard distribution with a system random source. /// public Matrix Random(int rows, int columns) { @@ -454,7 +454,7 @@ namespace MathNet.Numerics.LinearAlgebra } /// - /// Create a new dense matrix with values sampled from the standard distribution with a mersenne twister random source. + /// Create a new dense matrix with values sampled from the standard distribution with a system random source. /// public Matrix Random(int rows, int columns, int seed) { @@ -473,7 +473,7 @@ namespace MathNet.Numerics.LinearAlgebra /// /// Create a new positive definite dense matrix where each value is the product - /// of two samples from the standard distribution with a mersenne twister random source. + /// of two samples from the standard distribution. /// public Matrix RandomPositiveDefinite(int order) { @@ -1399,7 +1399,7 @@ namespace MathNet.Numerics.LinearAlgebra public abstract Vector Random(int length, IContinuousDistribution distribution); /// - /// Create a new dense vector with values sampled from the standard distribution with a mersenne twister random source. + /// Create a new dense vector with values sampled from the standard distribution with a system random source. /// public Vector Random(int length) {