org.apache.commons.math3.linear

## Class QRDecomposition.Solver

- java.lang.Object
- - org.apache.commons.math3.linear.QRDecomposition.Solver

All Implemented Interfaces:
  DecompositionSolver

Enclosing class:
  QRDecomposition

    private static class QRDecomposition.Solver
    extends Object
    implements DecompositionSolver

Specialized solver.

### Field Summary

Fields
`private double[][]` `qrt` A packed TRANSPOSED representation of the QR decomposition.
`private double[]` `rDiag` The diagonal elements of R.
`private double` `threshold` Singularity threshold.

### Constructor Summary

Constructors
`private` `QRDecomposition.Solver(double[][] qrt, double[] rDiag, double threshold)` Build a solver from decomposed matrix.

### Method Summary

Methods
`RealMatrix` `getInverse()` Get the inverse (or pseudo-inverse) of the decomposed matrix.
`boolean` `isNonSingular()` Check if the decomposed matrix is non-singular.
`RealMatrix` `solve(RealMatrix b)` Solve the linear equation A × X = B for matrices A.
`RealVector` `solve(RealVector b)` Solve the linear equation A × X = B for matrices A.

### Methods inherited from class java.lang.Object

`clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

### Field Detail

#### qrt

    private final double[][] qrt

A packed TRANSPOSED representation of the QR decomposition.

The elements BELOW the diagonal are the elements of the UPPER triangular matrix R, and the rows ABOVE the diagonal are the Householder reflector vectors from which an explicit form of Q can be recomputed if desired.

#### rDiag

    private final double[] rDiag

The diagonal elements of R.

#### threshold

    private final double threshold

Singularity threshold.

### Constructor Detail

#### QRDecomposition.Solver

    private QRDecomposition.Solver(double[][] qrt,
                          double[] rDiag,
                          double threshold)

Build a solver from decomposed matrix.

Parameters:
  `qrt` - Packed TRANSPOSED representation of the QR decomposition.
  `rDiag` - Diagonal elements of R.
  `threshold` - Singularity threshold.

### Method Detail

#### isNonSingular

    public boolean isNonSingular()

Check if the decomposed matrix is non-singular.

Specified by:
  `isNonSingular` in interface `DecompositionSolver`
Returns:
  true if the decomposed matrix is non-singular.

#### solve

    public RealVector solve(RealVector b)

Solve the linear equation A × X = B for matrices A.

The A matrix is implicit, it is provided by the underlying decomposition algorithm.

Specified by:
  `solve` in interface `DecompositionSolver`
Parameters:
  `b` - right-hand side of the equation A × X = B
Returns:
  a vector X that minimizes the two norm of A × X - B

#### solve

    public RealMatrix solve(RealMatrix b)

Solve the linear equation A × X = B for matrices A.

The A matrix is implicit, it is provided by the underlying decomposition algorithm.

Specified by:
  `solve` in interface `DecompositionSolver`
Parameters:
  `b` - right-hand side of the equation A × X = B
Returns:
  a matrix X that minimizes the two norm of A × X - B

#### getInverse

    public RealMatrix getInverse()

Get the inverse (or pseudo-inverse) of the decomposed matrix.

Specified by:
  `getInverse` in interface `DecompositionSolver`
Returns:
  inverse matrix