Constrained Optimal Experimental Design: Theory, Algorithm and Applications

Name: Constrained Optimal Experimental Design: Theory, Algorithm and Applications
Brand: Fraunhofer Verlag
SKU: 9783839619889
Price: 77.61 EUR
Availability: InStock

Autor: Philipp Seufert, Fraunhofer ITWM

Jazyk:

Väzba: Brožovaná

Vydavateľ: Fraunhofer Verlag

Dostupnosť: 50 % šanca

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77.61 €

While the literature on optimal experimental design (OED) is primarily concerned with unconstrained...

Informácie o knihe

Autor

Philipp Seufert, Fraunhofer ITWM

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2024

Stránok

190

EAN

9783839619889

Enbook ID

45728930

Vydavateľ

Fraunhofer Verlag

Rozmery

148 x 210

Kompletný popis

While the literature on optimal experimental design (OED) is primarily concerned with unconstrained problems, it is also of interest to restrict individual experiments, certain design quantities, or even the entire experimental plan. A classic approach to OED models the problem as an unconstrained optimization problem over the infinite dimensional space of probability measures.This thesis introduces a general framework for constrained OED problems and discusses optimality criteria in form of saddle point conditions. Particular attention is paid to the required constraint qualifications. For the numerical solution of such constrained infinite-dimensional nonlinear OED problems this thesis proposes an adaptive discretization scheme, utilizing the derivative of the Lagrangian function. Furthermore, this thesis discusses the multi-criteria OED problem and presents algorithmic schemes for convex and non-convex objective functions. Finally, the algorithms are illustrated on an application example from chemical process engineering.

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