Ditemukan 4 dokumen yang sesuai dengan query
Udriste, Constantin
Dordrecht: Kluwer Academic, 1994
516.3 UDR c
Buku Teks Universitas Indonesia Library
Ekeland, Ivar
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No one working in duality should be without a copy of Convex Analysis and Variational Problems. This book contains different developments of infinite dimensional convex programming in the context of convex analysis, including duality, minmax and Lagrangians, and convexification of nonconvex optimization problems in the calculus of variations (infinite dimension). It also includes the theory of convex duality applied to partial differential equations; no other reference presents this in a systematic way. The minmax theorems ...
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Philadelphia : Society for Industrial and Applied Mathematics, 1999
e20442712
eBooks Universitas Indonesia Library
Murota, Kazuo
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Discrete Convex Analysis is a novel paradigm for discrete optimization that combines the ideas in continuous optimization (convex analysis) and combinatorial optimization (matroid/submodular function theory) to establish a unified theoretical framework for nonlinear discrete optimization. The study of this theory is expanding with the development of efficient algorithms and applications to a number of diverse disciplines like matrix theory, operations research, and economics. This self-contained book is designed to provide a novel insight into optimization ...
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Philadelphia : Society for Industrial and Applied Mathematics, 2003
e20443048
eBooks Universitas Indonesia Library
Rockafellar, R. Tyrrell
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Provides a relatively brief introduction to conjugate duality in both finite- and infinite-dimensional problems. An emphasis is placed on the fundamental importance of the concepts of Lagrangian function, saddle-point, and saddle-value. General examples are drawn from nonlinear programming, approximation, stochastic programming, the calculus of variations, and optimal control ...
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Philadelphia: Society for Industrial and Applied Mathematics, 1974
e20448465
eBooks Universitas Indonesia Library
