org.apache.commons.math.linear
Class FieldLUDecompositionImpl.Solver<T extends FieldElement<T>>

java.lang.Object
  org.apache.commons.math.linear.FieldLUDecompositionImpl.Solver<T>

All Implemented Interfaces:

FieldDecompositionSolver<T>

Enclosing class:

FieldLUDecompositionImpl<T extends FieldElement<T>>

private static class FieldLUDecompositionImpl.Solver<T extends FieldElement<T>>
extends java.lang.Object
implements FieldDecompositionSolver<T>

Specialized solver.

Field Summary

private Field<T>	field Field to which the elements belong.
private T[][]	lu Entries of LU decomposition.
private int[]	pivot Pivot permutation associated with LU decomposition.
private static long	serialVersionUID Serializable version identifier.
private boolean	singular Singularity indicator.

Constructor Summary

private

FieldLUDecompositionImpl.Solver(Field<T> field, T[][] lu, int[] pivot, boolean singular) Build a solver from decomposed matrix.

Method Summary

FieldMatrix<T>	getInverse() Get the inverse (or pseudo-inverse) of the decomposed matrix.
boolean	isNonSingular() Check if the decomposed matrix is non-singular.
ArrayFieldVector<T>	solve(ArrayFieldVector<T> b) Solve the linear equation A × X = B.
FieldMatrix<T>	solve(FieldMatrix<T> b) Solve the linear equation A × X = B for matrices A.
FieldVector<T>	solve(FieldVector<T> b) Solve the linear equation A × X = B for matrices A.
T[]	solve(T[] 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

serialVersionUID

private static final long serialVersionUID

Serializable version identifier.

See Also:

Constant Field Values

field

private final Field<T extends FieldElement<T>> field

Field to which the elements belong.

lu

private final T extends FieldElement<T>[][] lu

Entries of LU decomposition.

pivot

private final int[] pivot

Pivot permutation associated with LU decomposition.

singular

private final boolean singular

Singularity indicator.

Constructor Detail

FieldLUDecompositionImpl.Solver

private FieldLUDecompositionImpl.Solver(Field<T> field,
                                        T[][] lu,
                                        int[] pivot,
                                        boolean singular)

Build a solver from decomposed matrix.

Parameters:

field - field to which the matrix elements belong

lu - entries of LU decomposition

pivot - pivot permutation associated with LU decomposition

singular - singularity indicator

Method Detail

isNonSingular

public boolean isNonSingular()

Check if the decomposed matrix is non-singular.

Specified by:

isNonSingular in interface FieldDecompositionSolver<T extends FieldElement<T>>

Returns:

true if the decomposed matrix is non-singular

solve

public T[] solve(T[] b)
                                  throws java.lang.IllegalArgumentException,
                                         InvalidMatrixException

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 FieldDecompositionSolver<T extends FieldElement<T>>

Parameters:

b - right-hand side of the equation A × X = B

Returns:

a vector X that minimizes the two norm of A × X - B

Throws:

java.lang.IllegalArgumentException - if matrices dimensions don't match

InvalidMatrixException - if decomposed matrix is singular

solve

public FieldVector<T> solve(FieldVector<T> b)
                                             throws java.lang.IllegalArgumentException,
                                                    InvalidMatrixException

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 FieldDecompositionSolver<T extends FieldElement<T>>

Parameters:

b - right-hand side of the equation A × X = B

Returns:

a vector X that minimizes the two norm of A × X - B

Throws:

java.lang.IllegalArgumentException - if matrices dimensions don't match

InvalidMatrixException - if decomposed matrix is singular

solve

public ArrayFieldVector<T> solve(ArrayFieldVector<T> b)
                                                  throws java.lang.IllegalArgumentException,
                                                         InvalidMatrixException

Solve the linear equation A × X = B.

The A matrix is implicit here. It is

Parameters:

b - right-hand side of the equation A × X = B

Returns:

a vector X such that A × X = B

Throws:

java.lang.IllegalArgumentException - if matrices dimensions don't match

InvalidMatrixException - if decomposed matrix is singular

solve

public FieldMatrix<T> solve(FieldMatrix<T> b)
                                             throws java.lang.IllegalArgumentException,
                                                    InvalidMatrixException

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 FieldDecompositionSolver<T extends FieldElement<T>>

Parameters:

b - right-hand side of the equation A × X = B

Returns:

a matrix X that minimizes the two norm of A × X - B

Throws:

java.lang.IllegalArgumentException - if matrices dimensions don't match

InvalidMatrixException - if decomposed matrix is singular

getInverse

public FieldMatrix<T> getInverse()
                                                  throws InvalidMatrixException

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

Specified by:

getInverse in interface FieldDecompositionSolver<T extends FieldElement<T>>

Returns:

inverse matrix

Throws:

InvalidMatrixException - if decomposed matrix is singular