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Titlebook: Nondifferential and Variational Techniques in Optimization; D. C. Sorensen,R. J.- B. Wets Book 1982Latest edition Springer-Verlag Berlin H

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书目名称Nondifferential and Variational Techniques in Optimization
编辑D. C. Sorensen,R. J.- B. Wets
视频video
丛书名称Mathematical Programming Studies
图书封面Titlebook: Nondifferential and Variational Techniques in Optimization;  D. C. Sorensen,R. J.- B. Wets Book 1982Latest edition Springer-Verlag Berlin H
出版日期Book 1982Latest edition
关键词optimization
版次1
doihttps://doi.org/10.1007/BFb0120955
isbn_ebook978-3-642-00815-3Series ISSN 0303-3929 Series E-ISSN 2364-8201
issn_series 0303-3929
copyrightSpringer-Verlag Berlin Heidelberg 1982
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Optimality conditions for piecewise smooth functions,y and sufficient conditions are established for this class of nonsmooth functions. However when a piecewise smooth function cannot be expressed as the maximum of its component functions there are severe limitations in the usual first order necessary conditions, and simple examples are given to illus
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A model algorithm for composite nondifferentiable optimization problems,enalty functions in nonlinear programming, nonlinear min-max problems, best nonlinear . ., . . and . . approximation and finding feasible points of nonlinear inequalities. The idea is used of making a linear approximation to . whilst including second order terms in a quadratic approximation to .. Th
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A problem in capillarity and plasticity,from characteristic functions, and we compute the minimum value—which represents the critical contact angle in capillarity and the collapse factor in plasticity. The analysis is a continuous analogue of the max flow-min cut theorem, and a future publication of the first author will extend that theor
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On the convergence of a block successive over-relaxation method for a class of linear complementariw feature of the method is that it contains certain reduction operations at each iteration. Such reductions are needed in order to ensure the boundedness (and therefore the existence of accumulation points) of the sequence of iterates produced by the algorithm. Convergence of the method is established by using a theorem due to Zangwill.
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