本文整理汇总了C#中DotNetMatrix.GeneralMatrix.SVD方法的典型用法代码示例。如果您正苦于以下问题：C# GeneralMatrix.SVD方法的具体用法？C# GeneralMatrix.SVD怎么用？C# GeneralMatrix.SVD使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类DotNetMatrix.GeneralMatrix的用法示例。
在下文中一共展示了GeneralMatrix.SVD方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C#代码示例。
示例1: SingularValueDecomposition
public void SingularValueDecomposition()
{
GeneralMatrix A = new GeneralMatrix(columnwise, 4);
SingularValueDecomposition SVD = A.SVD();
Assert.IsTrue(GeneralTests.Check(A, SVD.GetU().Multiply(SVD.S.Multiply(SVD.GetV().Transpose()))));
}示例2: SingularValues
public void SingularValues()
{
double[][] condmat = {new double[]{1.0, 3.0}, new double[]{7.0, 9.0}};
GeneralMatrix B = new GeneralMatrix(condmat);
SingularValueDecomposition SVD = B.SVD();
double[] singularvalues = SVD.SingularValues;
Assert.IsTrue(GeneralTests.Check(B.Condition(), singularvalues[0] / singularvalues[System.Math.Min(B.RowDimension, B.ColumnDimension) - 1]));
}示例3: Main
//.........这里部分代码省略.........
{
check(A.Multiply(A.Transpose()), SQ);
try_success("Multiply(GeneralMatrix)...", "");
}
catch (System.SystemException e)
{
errorCount = try_failure(errorCount, "Multiply(GeneralMatrix)...", "incorrect GeneralMatrix-GeneralMatrix product calculation");
System.Console.Out.WriteLine(e.Message);
}
try
{
check(A.Multiply(0.0), Z);
try_success("Multiply(double)...", "");
}
catch (System.SystemException e)
{
errorCount = try_failure(errorCount, "Multiply(double)...", "incorrect GeneralMatrix-scalar product calculation");
System.Console.Out.WriteLine(e.Message);
}
A = new GeneralMatrix(columnwise, 4);
QRDecomposition QR = A.QRD();
R = QR.R;
try
{
check(A, QR.Q.Multiply(R));
try_success("QRDecomposition...", "");
}
catch (System.SystemException e)
{
errorCount = try_failure(errorCount, "QRDecomposition...", "incorrect QR decomposition calculation");
System.Console.Out.WriteLine(e.Message);
}
SingularValueDecomposition SVD = A.SVD();
try
{
check(A, SVD.GetU().Multiply(SVD.S.Multiply(SVD.GetV().Transpose())));
try_success("SingularValueDecomposition...", "");
}
catch (System.SystemException e)
{
errorCount = try_failure(errorCount, "SingularValueDecomposition...", "incorrect singular value decomposition calculation");
System.Console.Out.WriteLine(e.Message);
}
DEF = new GeneralMatrix(rankdef);
try
{
check(DEF.Rank(), System.Math.Min(DEF.RowDimension, DEF.ColumnDimension) - 1);
try_success("Rank()...", "");
}
catch (System.SystemException e)
{
errorCount = try_failure(errorCount, "Rank()...", "incorrect Rank calculation");
System.Console.Out.WriteLine(e.Message);
}
B = new GeneralMatrix(condmat);
SVD = B.SVD();
double[] singularvalues = SVD.SingularValues;
try
{
check(B.Condition(), singularvalues[0] / singularvalues[System.Math.Min(B.RowDimension, B.ColumnDimension) - 1]);
try_success("Condition()...", "");
}
catch (System.SystemException e)
{
errorCount = try_failure(errorCount, "Condition()...", "incorrect condition number calculation");