org.apache.commons.math3.linear
Class LUDecomposition

java.lang.Object
  extended by org.apache.commons.math3.linear.LUDecomposition

public class LUDecomposition
extends Object

Calculates the LUP-decomposition of a square matrix.

The LUP-decomposition of a matrix A consists of three matrices L, U and P that satisfy: P×A = L×U. L is lower triangular (with unit diagonal terms), U is upper triangular and P is a permutation matrix. All matrices are m×m.

As shown by the presence of the P matrix, this decomposition is implemented using partial pivoting.

This class is based on the class with similar name from the JAMA library.

Since:
2.0 (changed to concrete class in 3.0)
Version:
$Id: LUDecomposition.java 1416643 2012-12-03 19:37:14Z tn $
See Also:
MathWorld, Wikipedia

Constructor Summary
LUDecomposition(RealMatrix matrix)
          Calculates the LU-decomposition of the given matrix.
LUDecomposition(RealMatrix matrix, double singularityThreshold)
          Calculates the LU-decomposition of the given matrix.
 
Method Summary
 double getDeterminant()
          Return the determinant of the matrix
 RealMatrix getL()
          Returns the matrix L of the decomposition.
 RealMatrix getP()
          Returns the P rows permutation matrix.
 int[] getPivot()
          Returns the pivot permutation vector.
 DecompositionSolver getSolver()
          Get a solver for finding the A × X = B solution in exact linear sense.
 RealMatrix getU()
          Returns the matrix U of the decomposition.
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Constructor Detail

LUDecomposition

public LUDecomposition(RealMatrix matrix)
Calculates the LU-decomposition of the given matrix. This constructor uses 1e-11 as default value for the singularity threshold.

Parameters:
matrix - Matrix to decompose.
Throws:
NonSquareMatrixException - if matrix is not square.

LUDecomposition

public LUDecomposition(RealMatrix matrix,
                       double singularityThreshold)
Calculates the LU-decomposition of the given matrix.

Parameters:
matrix - The matrix to decompose.
singularityThreshold - threshold (based on partial row norm) under which a matrix is considered singular
Throws:
NonSquareMatrixException - if matrix is not square
Method Detail

getL

public RealMatrix getL()
Returns the matrix L of the decomposition.

L is a lower-triangular matrix

Returns:
the L matrix (or null if decomposed matrix is singular)

getU

public RealMatrix getU()
Returns the matrix U of the decomposition.

U is an upper-triangular matrix

Returns:
the U matrix (or null if decomposed matrix is singular)

getP

public RealMatrix getP()
Returns the P rows permutation matrix.

P is a sparse matrix with exactly one element set to 1.0 in each row and each column, all other elements being set to 0.0.

The positions of the 1 elements are given by the pivot permutation vector.

Returns:
the P rows permutation matrix (or null if decomposed matrix is singular)
See Also:
getPivot()

getPivot

public int[] getPivot()
Returns the pivot permutation vector.

Returns:
the pivot permutation vector
See Also:
getP()

getDeterminant

public double getDeterminant()
Return the determinant of the matrix

Returns:
determinant of the matrix

getSolver

public DecompositionSolver getSolver()
Get a solver for finding the A × X = B solution in exact linear sense.

Returns:
a solver


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