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java.lang.Objectno.uib.cipr.matrix.SVD
public class SVD
Computes singular value decompositions
| Constructor Summary | |
|---|---|
SVD(int m,
int n)
Creates an empty SVD which will compute all singular values and vectors |
|
SVD(int m,
int n,
boolean vectors)
Creates an empty SVD |
|
| Method Summary | |
|---|---|
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 |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
public SVD(int m,
int n)
m - Number of rowsn - Number of columns
public 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 values| Method Detail |
|---|
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
NotConvergedExceptionpublic boolean hasSingularVectors()
public DenseMatrix getU()
public DenseMatrix getVt()
public double[] getS()
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