- Piecewise surrogate models is a class for B2BDC which constructs polynomial surrogate models on disjoint portions of a domain
- Provides heuristic to subdivde domains
- Subdomains which have large fitting error, but can still be proven incompatible with the experimental evidence, are neglected
- Utilization of experimental evidence enables an increased efficiency, sampling regions where models and data agree
- Number of evaluations of the underlying model can be reduced considerably compared to traditional piecewise surrogate modeling strategies
The Piecewise models class is an extension to the Bound-to-Bound Data Collaboration toolkit. Methods and objects were tested with commit e9d501a
- Copy
piecewiseOptions.m
into the root directory of the B2BDC Toolkit, i.e.,+B2BDC/
- Copy the folder
@PiecewiseModel
into the directory+B2BDC/+B2Bmodels/
findModelIndex
eval
length
rule
inDomain
grow
extractData
fitSubDomain
consistentDomains
branch