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Titlebook: Convex Analysis and Global Optimization; Hoang Tuy Book 19981st edition Springer Science+Business Media Dordrecht 1998 Approximation.Mathe

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發(fā)表于 2025-3-23 12:27:51 | 只看該作者
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發(fā)表于 2025-3-24 05:18:21 | 只看該作者
Convex Analysis and Global Optimization978-1-4757-2809-5Series ISSN 1571-568X
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發(fā)表于 2025-3-24 09:05:11 | 只看該作者
Jürgen Martschukat,Silvan Niedermeierpty closed convex set . ( ... In this and the next chapters we shall focus on the . which is a particular variant of the concave programming problem when all the constraints are linear, i.e. when . is a polyhedron.
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發(fā)表于 2025-3-24 16:35:50 | 只看該作者
Value-Based Working Capital Management in such a way that the sequence of solutions of these relaxed problems converges to a solution of the given problem. This approach, first introduced in convex programming in the late fifties (Cheney and Goldstein (1959), Kelley (1960)) was later extended, under the name of ., to concave minimizatio
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發(fā)表于 2025-3-24 19:56:06 | 只看該作者
Net Working Capital Management Strategies,iables. However not all the variables play an equal part in the “curse of dimensionality”. Variables which enter the problem in a convex way, i.e. such that the problem becomes convex when all the other variables are fixed, are often relatively “easy”. The main source of difficulty comes from the “n
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發(fā)表于 2025-3-25 00:46:09 | 只看該作者
https://doi.org/10.1057/9781137393296mathematical structure of the problem under study. There are in general two aspects of nonconvexity deserving special attention. First, the rank of nonconvexity, i.e. roughly speaking, the number of nonconvex variables. In Chapter 7 we have discussed decomposition methods for handling low rank nonco
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