Hidden Bibliographic Details
ISBN: | 9783030149772 3030149773 9783030149789 3030149781 3030149765 9783030149765
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Digital file characteristics: | text file PDF
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Notes: | Includes bibliographical references and index. Online resource; title from digital title page (viewed on May 23, 2019).
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Summary: | 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.
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Other form: | Print version: Bonnans, J.F. (Joseph Frédéric), 1957- Convex and stochastic optimization. Cham, Switzerland : Springer, [2019] 3030149765 9783030149765
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Standard no.: | 10.1007/978-3-030-14977-2
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