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java.lang.Objectno.uib.cipr.matrix.SVD
public class SVD
Computes singular value decompositions
Constructor Summary | |
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SVD(int m,
int n)
Creates an empty SVD which will compute all singular values and vectors |
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SVD(int m,
int n,
boolean vectors)
Creates an empty SVD |
Method Summary | |
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SVD |
factor(DenseMatrix A)
Computes an SVD |
static SVD |
factorize(Matrix A)
Convenience method for computing a full SVD |
double[] |
getS()
Returns the singular values (stored in descending order) |
DenseMatrix |
getU()
Returns the left singular vectors, column-wise. |
DenseMatrix |
getVt()
Returns the right singular vectors, row-wise. |
boolean |
hasSingularVectors()
True if singular vectors are stored |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public SVD(int m, int n)
m
- Number of rowsn
- Number of columnspublic SVD(int m, int n, boolean vectors)
m
- Number of rowsn
- Number of columnsvectors
- True to compute the singular vectors, false for just the
singular valuesMethod Detail |
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public static SVD factorize(Matrix A) throws NotConvergedException
A
- Matrix to decompose, not modified
NotConvergedException
public SVD factor(DenseMatrix A) throws NotConvergedException
A
- Matrix to decompose. Size must conform, and it will be
overwritten on return. Pass a copy to avoid this
NotConvergedException
public boolean hasSingularVectors()
public DenseMatrix getU()
public DenseMatrix getVt()
public double[] getS()
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