Methods of Descent for Nondifferentiable Optimization, Krzysztof C. Kiwiel

Автор: V.F. Dem`yanov; Tetsushi Sasagawa; L.V. Vasil`ev
Название: Nondifferentiable Optimization
ISBN: 146138270X ISBN-13(EAN): 9781461382706
Издательство: Springer
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Описание: Of recent coinage, the term "nondifferentiable optimization" (NDO) covers a spectrum of problems related to finding extremal values of nondifferentiable functions. Among nonsmooth minimization problems, minimax problems and convex problems have been studied extensively ([31], [36], [57], [110], [120]).

Автор: Kurt Marti
Название: Descent Directions and Efficient Solutions in Discretely Distributed Stochastic Programs
ISBN: 3540187782 ISBN-13(EAN): 9783540187783
Издательство: Springer
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Описание: In engineering and economics a certain vector of inputs or decisions must often be chosen, subject to some constraints, such that the expected costs arising from the deviation between the output of a stochastic linear system and a desired stochastic target vector are minimal.