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java.lang.Objectcern.colt.matrix.tfloat.algo.solver.preconditioner.FloatSSOR
public class FloatSSOR
SSOR preconditioner. Uses symmetrical sucessive overrelaxation as a preconditioner. Meant for symmetrical, positive definite matrices. For best performance, omega must be carefully chosen (between 0 and 2).
| Constructor Summary | |
|---|---|
FloatSSOR(int n)
Constructor for SSOR. |
|
FloatSSOR(int n,
boolean reverse,
float omegaF,
float omegaR)
Constructor for SSOR |
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| Method Summary | |
|---|---|
FloatMatrix1D |
apply(FloatMatrix1D b,
FloatMatrix1D x)
Solves the approximate problem with the given right hand side. |
void |
setMatrix(FloatMatrix2D A)
Sets the operator matrix for the preconditioner. |
void |
setOmega(float omegaF,
float omegaR)
Sets the overrelaxation parameters |
FloatMatrix1D |
transApply(FloatMatrix1D b,
FloatMatrix1D x)
Solves the approximate transpose problem with the given right hand side. |
| Methods inherited from class java.lang.Object |
|---|
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
public FloatSSOR(int n,
boolean reverse,
float omegaF,
float omegaR)
n - Problem size (number of rows)reverse - True to perform a reverse sweep as well as the forward sweep.
If false, this preconditioner becomes the SOR method insteadomegaF - Overrelaxation parameter for the forward sweep. Between 0 and
2.omegaR - Overrelaxation parameter for the backwards sweep. Between 0
and 2.public FloatSSOR(int n)
omega=1 with a backwards sweep
n - Problem size (number of rows)| Method Detail |
|---|
public void setOmega(float omegaF,
float omegaR)
omegaF - Overrelaxation parameter for the forward sweep. Between 0 and
2.omegaR - Overrelaxation parameter for the backwards sweep. Between 0
and 2.public void setMatrix(FloatMatrix2D A)
FloatPreconditioner
setMatrix in interface FloatPreconditionerA - Matrix to setup the preconditioner for. Not modified
public FloatMatrix1D apply(FloatMatrix1D b,
FloatMatrix1D x)
FloatPreconditioner
apply in interface FloatPreconditionerb - Right hand side of problemx - Result is stored here
public FloatMatrix1D transApply(FloatMatrix1D b,
FloatMatrix1D x)
FloatPreconditioner
transApply in interface FloatPreconditionerb - Right hand side of problemx - Result is stored here
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