Package de.labathome.trustconstr.records

Class AdjustedDifferencingScheme

java.lang.Object

de.labathome.trustconstr.records.AdjustedDifferencingScheme

public final class AdjustedDifferencingScheme
extends Object

Output of NumDiff.adjustSchemeToBounds(de.labathome.trustconstr.matrix.Matrix, de.labathome.trustconstr.matrix.Matrix, int, de.labathome.trustconstr.enums.FiniteDifferenceMethod, de.labathome.trustconstr.matrix.Matrix, de.labathome.trustconstr.matrix.Matrix): the per-dimension finite-difference step (with sign flips and clamping applied so each step lands inside the user-provided bounds) plus a per- dimension flag indicating whether the central scheme had to be downgraded to a one-sided scheme.

Constructor Summary

Constructors

Constructor	Description
AdjustedDifferencingScheme(Matrix hAdjusted, boolean[] useOneSided)

Method Summary

Modifier and Type	Method	Description
Matrix	hAdjusted()
boolean[]	useOneSided()

Methods inherited from class java.lang.Object

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

Constructor Details

AdjustedDifferencingScheme

public AdjustedDifferencingScheme(Matrix hAdjusted,
 boolean[] useOneSided)

Parameters:

hAdjusted - adjusted absolute step sizes (n x 1)

useOneSided - per-dimension flag: true forces a one-sided scheme at this dimension, false keeps the requested two-sided scheme

Method Details

hAdjusted

public Matrix hAdjusted()

Returns:

the bound-adjusted step sizes (n x 1)

useOneSided

public boolean[] useOneSided()

Returns:

per-dimension one-sided/two-sided scheme flags