Parallel Colt 0.7.2

cern.colt.matrix.tdouble.algo.decomposition
Class DoubleQRDecomposition

java.lang.Object
  extended by cern.colt.matrix.tdouble.algo.decomposition.DoubleQRDecomposition
All Implemented Interfaces:
Serializable

public class DoubleQRDecomposition
extends Object
implements Serializable

For an m x n matrix A with m >= n, the QR decomposition is an m x n orthogonal matrix Q and an n x n upper triangular matrix R so that A = Q*R.

The QR decompostion always exists, even if the matrix does not have full rank, so the constructor will never fail. The primary use of the QR decomposition is in the least squares solution of nonsquare systems of simultaneous linear equations. This will fail if isFullRank() returns false.

See Also:
Serialized Form

Constructor Summary
DoubleQRDecomposition(DoubleMatrix2D A)
          Constructs and returns a new QR decomposition object; computed by Householder reflections; The decomposed matrices can be retrieved via instance methods of the returned decomposition object.
 
Method Summary
 DoubleMatrix2D getH()
          Returns the Householder vectors H.
 DoubleMatrix2D getQ()
          Generates and returns the (economy-sized) orthogonal factor Q.
 DoubleMatrix2D getR()
          Returns the upper triangular factor, R.
 boolean hasFullRank()
          Returns whether the matrix A has full rank.
 DoubleMatrix1D solve(DoubleMatrix1D b)
          Least squares solution of A*x = b; returns x.
 DoubleMatrix2D solve(DoubleMatrix2D B)
          Least squares solution of A*X = B; returns X.
 String toString()
          Returns a String with (propertyName, propertyValue) pairs.
 
Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
 

Constructor Detail

DoubleQRDecomposition

public DoubleQRDecomposition(DoubleMatrix2D A)
Constructs and returns a new QR decomposition object; computed by Householder reflections; The decomposed matrices can be retrieved via instance methods of the returned decomposition object.

Parameters:
A - A rectangular matrix.
Throws:
IllegalArgumentException - if A.rows() < A.columns().
Method Detail

getH

public DoubleMatrix2D getH()
Returns the Householder vectors H.

Returns:
A lower trapezoidal matrix whose columns define the householder reflections.

getQ

public DoubleMatrix2D getQ()
Generates and returns the (economy-sized) orthogonal factor Q.

Returns:
Q

getR

public DoubleMatrix2D getR()
Returns the upper triangular factor, R.

Returns:
R

hasFullRank

public boolean hasFullRank()
Returns whether the matrix A has full rank.

Returns:
true if R, and hence A, has full rank.

solve

public DoubleMatrix1D solve(DoubleMatrix1D b)
Least squares solution of A*x = b; returns x.

Parameters:
b - right-hand side.
Returns:
x that minimizes the two norm of Q*R*x - b.
Throws:
IllegalArgumentException - if b.size() != A.rows().
IllegalArgumentException - if !this.hasFullRank() (A is rank deficient).

solve

public DoubleMatrix2D solve(DoubleMatrix2D B)
Least squares solution of A*X = B; returns X.

Parameters:
B - A matrix with as many rows as A and any number of columns.
Returns:
X that minimizes the two norm of Q*R*X - B.
Throws:
IllegalArgumentException - if B.rows() != A.rows().
IllegalArgumentException - if !this.hasFullRank() (A is rank deficient).

toString

public String toString()
Returns a String with (propertyName, propertyValue) pairs. Useful for debugging or to quickly get the rough picture. For example,
         rank          : 3
         trace         : 0
 
 

Overrides:
toString in class Object

Parallel Colt 0.7.2

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