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Importance of the first design matrix in experimental simplex optimization

✍ Scribed by Tomas Öberg

Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
313 KB
Volume
44
Category
Article
ISSN
0169-7439

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✦ Synopsis

The basic and modified simplex methods are efficient optimization techniques applied in many fields of chemistry and engineering. Various first design matrices were evaluated on polynomial models with added noise. D-optimal linear design matrices performed better than regular or cornered first simplices in the normal experimental situation. These findings have been implemented in a new experimental design an optimization software, the MultiSimplex w .

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