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## org.apache.commons.math.linear
Class QRDecompositionImpl

    java.lang.Object
      org.apache.commons.math.linear.QRDecompositionImpl

All Implemented Interfaces:
  QRDecomposition

    public class QRDecompositionImpl

extends Object
implements QRDecomposition

Calculates the QR-decomposition of a matrix.

The QR-decomposition of a matrix A consists of two matrices Q and R that satisfy: A = QR, Q is orthogonal (QTQ = I), and R is upper triangular. If A is m×n, Q is m×m and R m×n.

This class compute the decomposition using Householder reflectors.

For efficiency purposes, the decomposition in packed form is transposed. This allows inner loop to iterate inside rows, which is much more cache-efficient in Java.

Since:
  1.2
Version:
  $Revision: 990655 $ $Date: 2010-08-29 23:49:40 +0200 (dim. 29 août 2010) $
See Also:
  MathWorld, Wikipedia

Nested Class Summary
`private static class` | `QRDecompositionImpl.Solver` Specialized solver.

Field Summary
`private RealMatrix` | `cachedH` Cached value of H.
`private RealMatrix` | `cachedQ` Cached value of Q.
`private RealMatrix` | `cachedQT` Cached value of QT.
`private RealMatrix` | `cachedR` Cached value of R.
`private double[][]` | `qrt` A packed TRANSPOSED representation of the QR decomposition.
`private double[]` | `rDiag` The diagonal elements of R.

Constructor Summary
`QRDecompositionImpl(RealMatrix matrix)` Calculates the QR-decomposition of the given matrix.

Method Summary
`RealMatrix` | `getH()` Returns the Householder reflector vectors.
`RealMatrix` | `getQ()` Returns the matrix Q of the decomposition.
`RealMatrix` | `getQT()` Returns the transpose of the matrix Q of the decomposition.
`RealMatrix` | `getR()` Returns the matrix R of the decomposition.
`DecompositionSolver` | `getSolver()` Get a solver for finding the A × X = B solution in least square sense.

Methods inherited from class java.lang.Object
`clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

Field Detail

### qrt

    private 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 double[] rDiag

  The diagonal elements of R.

### cachedQ

    private RealMatrix cachedQ

  Cached value of Q.

### cachedQT

    private RealMatrix cachedQT

  Cached value of QT.

### cachedR

    private RealMatrix cachedR

  Cached value of R.

### cachedH

    private RealMatrix cachedH

  Cached value of H.

Constructor Detail

### QRDecompositionImpl

    public QRDecompositionImpl(RealMatrix matrix)

  Calculates the QR-decomposition of the given matrix.

  Parameters:
    `matrix` - The matrix to decompose.

Method Detail

### getR

    public RealMatrix getR()

  Returns the matrix R of the decomposition.

  R is an upper-triangular matrix

  Specified by:
    `getR` in interface `QRDecomposition`
  Returns:
    the R matrix

### getQ

    public RealMatrix getQ()

  Returns the matrix Q of the decomposition.

  Q is an orthogonal matrix

  Specified by:
    `getQ` in interface `QRDecomposition`
  Returns:
    the Q matrix

### getQT

    public RealMatrix getQT()

  Returns the transpose of the matrix Q of the decomposition.

  Q is an orthogonal matrix

  Specified by:
    `getQT` in interface `QRDecomposition`
  Returns:
    the Q matrix

### getH

    public RealMatrix getH()

  Returns the Householder reflector vectors.

  H is a lower trapezoidal matrix whose columns represent each successive Householder reflector vector. This matrix is used to compute Q.

  Specified by:
    `getH` in interface `QRDecomposition`
  Returns:
    a matrix containing the Householder reflector vectors

### getSolver

    public DecompositionSolver getSolver()

  Get a solver for finding the A × X = B solution in least square sense.

  Specified by:
    `getSolver` in interface `QRDecomposition`
  Returns:
    a solver

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