java.lang.Object
- no.uib.cipr.matrix.SVD

public class SVD
extends java.lang.Object

Computes singular value decompositions

Constructor Summary

Constructors
Constructor	Description
`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

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`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
  - SVD
```
public SVD(int m,
           int n)
```
    Creates an empty SVD which will compute all singular values and vectors
    
    Parameters:
    
    m - Number of rows
    
    n - Number of columns
  - SVD
```
public SVD(int m,
           int n,
           boolean vectors)
```
    Creates an empty SVD
    
    Parameters:
    
    m - Number of rows
    
    n - Number of columns
    
    vectors - True to compute the singular vectors, false for just the singular values
- Method Detail
  - factorize
```
public static SVD factorize(Matrix A)
                     throws NotConvergedException
```
    Convenience method for computing a full SVD
    
    Parameters:
    
    A - Matrix to decompose, not modified
    
    Returns:
    
    Newly allocated factorization
    
    Throws:
    
    NotConvergedException
  - factor
```
public SVD factor(DenseMatrix A)
           throws NotConvergedException
```
    Computes an SVD
    
    Parameters:
    
    A - Matrix to decompose. Size must conform, and it will be overwritten on return. Pass a copy to avoid this
    
    Returns:
    
    The current decomposition
    
    Throws:
    
    NotConvergedException
  - hasSingularVectors
```
public boolean hasSingularVectors()
```
    True if singular vectors are stored
  - getU
```
public DenseMatrix getU()
```
    Returns the left singular vectors, column-wise. Not available for partial decompositions
    
    Returns:
    
    Matrix of size m*m
  - getVt
```
public DenseMatrix getVt()
```
    Returns the right singular vectors, row-wise. Not available for partial decompositions
    
    Returns:
    
    Matrix of size n*n
  - getS
```
public double[] getS()
```
    Returns the singular values (stored in descending order)
    
    Returns:
    
    Array of size min(m,n)

Class SVD

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

SVD

SVD

Method Detail

factorize

factor

hasSingularVectors

getU

getVt

getS