SlightlySimplifyInterpolationPolynomial
-
MLModule
author |
Tim Kroeger |
package |
FMEwork/Release |
dll |
MLStochasticCollocation |
definition |
MLStochasticCollocation.def |
see also |
TensorInterpolationPolynomial , SmolyakInterpolationPolynomial , EvaluateInterpolationPolynomial , HistogramInterpolationPolynomial , ScalePointInterpolationPolynomial , DeriveInterpolationPolynomial , IntegrationInterpolationPolynomial , MultiplyInterpolationPolynomial , IntegrateBoxInterpolationPolynomial , CovarianceMatrixInterpolationPolynomial , PartiallyEvaluateInterpolationPolynomial , Histogram3DInterpolationPolynomial , HistogramSphereInterpolationPolynomial , AddInterpolationPolynomial , SimplifyInterpolationPolynomial , TranslateInterpolationPolynomial , ImageListInterpolationPolynomial , GraphInterpolationPolynomial , InterpolatePolynomialToLinearFunction , FactorZeroInterpolationPolynomial |
keywords |
interpolation , polynomial , multivariate , simplify |
Purpose
The module SlightlySimplifyInterpolationPolynomial
simplifies the internal representation of a multidimensional, scalar interpolation polynomial.
It uses a less radical method to do this than the SimplifyInterpolationPolynomial
module. It does not change the bounding box, is less prone to large round-off errors, and will never make computations slower. On the other hand, it is only useful in very special situations, since it will otherwise just do nothing.
A situation where it is useful is when two or more Smolyak interpolation polynomials on the same (or a related) grid have been added.
Another situation where it may be useful is when a complicated Smolyak polynomial has been partially evaluated (using the PartiallyEvaluateInterpolationPolynomial
).
Windows
Default Panel
Output Fields
outputPolynomial
-
name:
outputPolynomial
, type:
MLBase
Parameter Fields
Visible Fields
Auto apply
-
name:
autoApply
, type:
Bool
, default:
FALSE
If checked, the module computes anew on an input change.
Apply
-
name:
apply
, type:
Trigger
If pressed, the module computes anew.