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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Journal of global optimization Ročník 65; číslo 2; s. 261 - 281
Hlavní autoři:	Zidani, H., De Cursi, J. E. Souza, Ellaia, R.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.06.2016 Springer Springer Nature B.V
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!