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Convex and Stochastic Optimization

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Convex and Stochastic Optimization/ by J. Frédéric Bonnans.
作者:	Bonnans, J. Frédéric.
面頁冊數:	XIII, 311 p.online resource. :
Contained By:	Springer Nature eBook
標題:	Mathematical optimization. -
電子資源:	https://doi.org/10.1007/978-3-030-14977-2
ISBN:	9783030149772

Convex and Stochastic Optimization
Bonnans, J. Frédéric.

Convex and Stochastic Optimization[electronic resource] /by J. Frédéric Bonnans. - 1st ed. 2019. - XIII, 311 p.online resource. - Universitext,0172-5939. - Universitext,.

1 A convex optimization toolbox -- 2 Semideﬁnite and semiinﬁnite programming -- 3 An integration toolbox -- 4 Risk measures -- 5 Sampling and optimizing -- 6 Dynamic stochastic optimization -- 7 Markov decision processes -- 8 Algorithms -- 9 Generalized convexity and transportation theory -- References -- Index. .

This textbook provides an introduction to convex duality for optimization problems in Banach spaces, integration theory, and their application to stochastic programming problems in a static or dynamic setting. It introduces and analyses the main algorithms for stochastic programs, while the theoretical aspects are carefully dealt with. The reader is shown how these tools can be applied to various fields, including approximation theory, semidefinite and second-order cone programming and linear decision rules. This textbook is recommended for students, engineers and researchers who are willing to take a rigorous approach to the mathematics involved in the application of duality theory to optimization with uncertainty.

ISBN: 9783030149772

Standard No.: 10.1007/978-3-030-14977-2doiSubjects--Topical Terms:

527675
Mathematical optimization.

LC Class. No.: QA402.5-402.6

Dewey Class. No.: 519.6

Convex and Stochastic Optimization
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