Package org.ejml.dense.row.linsol.lu

Class LinearSolverLuKJI_FDRM

java.lang.Object

org.ejml.dense.row.linsol.LinearSolverAbstract_FDRM

org.ejml.dense.row.linsol.lu.LinearSolverLuBase_FDRM

org.ejml.dense.row.linsol.lu.LinearSolverLuKJI_FDRM

All Implemented Interfaces:

LinearSolver<FMatrixRMaj,FMatrixRMaj>, LinearSolverDense<FMatrixRMaj>

@Generated("org.ejml.dense.row.linsol.lu.LinearSolverLuKJI_DDRM")
public class LinearSolverLuKJI_FDRM
extends LinearSolverLuBase_FDRM

To avoid cpu cache issues the order in which the arrays are traversed have been changed. There seems to be no performance benit relative to LinearSolverLu_FDRM in this approach and b and x can't be the same instance, which means it has slightly less functionality.

Field Summary

Fields inherited from class org.ejml.dense.row.linsol.lu.LinearSolverLuBase_FDRM

decomp

Fields inherited from class org.ejml.dense.row.linsol.LinearSolverAbstract_FDRM

A, numCols, numRows

Constructor Summary

Constructors

Constructor	Description
LinearSolverLuKJI_FDRM(LUDecompositionBase_FDRM decomp)

Method Summary

Modifier and Type	Method	Description
boolean	setA(FMatrixRMaj A)	Specifies the A matrix in the linear equation.
void	solve(FMatrixRMaj B, FMatrixRMaj X)	An other implementation of solve() that processes the matrices in a different order.

Methods inherited from class org.ejml.dense.row.linsol.lu.LinearSolverLuBase_FDRM

getDecomposition, improveSol, invert, modifiesA, modifiesB, quality

Methods inherited from class org.ejml.dense.row.linsol.LinearSolverAbstract_FDRM

_setA, getA

Methods inherited from class java.lang.Object

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

Constructor Details

LinearSolverLuKJI_FDRM

public LinearSolverLuKJI_FDRM(LUDecompositionBase_FDRM decomp)

Method Details

setA

public boolean setA(FMatrixRMaj A)

Description copied from interface: LinearSolver

Specifies the A matrix in the linear equation. A reference might be saved and it might also be modified depending on the implementation. If it is modified then LinearSolver.modifiesA() will return true.

If this value returns true that does not guarantee a valid solution was generated. This is because some decompositions don't detect singular matrices.

Specified by:

setA in interface LinearSolver<FMatrixRMaj,FMatrixRMaj>

Overrides:

setA in class LinearSolverLuBase_FDRM

Parameters:

A - The 'A' matrix in the linear equation. Might be modified or save the reference.

Returns:

true if it can be processed.

solve

public void solve(FMatrixRMaj B,
 FMatrixRMaj X)

An other implementation of solve() that processes the matrices in a different order. It seems to have the same runtime performance as solve(org.ejml.data.FMatrixRMaj, org.ejml.data.FMatrixRMaj) and is more complicated. It is being kept around to avoid future replication of work.

Parameters:

B - A matrix that is n by m. Not modified.

X - An n by m matrix where the solution is writen to. Modified.