Numerical approximation of the solution in infinite dimensional global optimization using a representation formula

A non convex optimization problem, involving a regular functional J , on a closed and bounded subset S of a separable Hilbert space V is here considered. No convexity assumption is introduced. The solutions are represented by using a closed formula involving means of convenient random variables, ana...

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Veröffentlicht in:	Journal of global optimization Jg. 65; H. 2; S. 261 - 281
Hauptverfasser:	Zidani, H., De Cursi, J. E. Souza, Ellaia, R.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.06.2016 Springer Springer Nature B.V
Schlagworte:	Algorithms Approximation Banach spaces Calculus Calculus of variations Computer Science Convexity Hilbert space Mathematical analysis Mathematical models Mathematics Mathematics and Statistics Operations Research/Decision Theory Optimization Random variables Real Functions Representations Strategy Studies Representation formula Variational calculus 49M30 Nonconvex global optimization
ISSN:	0925-5001, 1573-2916
Online-Zugang:	Volltext
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