Deleterious 发表于 2025-3-21 19:41:49

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先行 发表于 2025-3-22 00:19:44

J. MacGregor SmithConceptually explains real world optimization problems which are then demonstrated with practical software apps.Brings optimization down to the students’ personal lives and experiences and gives them

GLUE 发表于 2025-3-22 01:45:34

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执拗 发表于 2025-3-22 05:48:02

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hemophilia 发表于 2025-3-22 10:28:05

App Problem Formulation,In this chapter, we give the reader an overview of problem formulation and its relationship to App development and how Operations Research and Computer Science strategies are helpful in constructing methodologies for their solution. See Figure below.

符合你规定 发表于 2025-3-22 13:00:06

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符合你规定 发表于 2025-3-22 20:48:19

Shahriar Mahmud,Shakti Raj Chopraex to solve because of the nonlinear, non-convex effects of the integer decision variables. Most of the IP problems for large scale instances are at least . Complete for the decision problem, and many are . Hard for the optimization part, so that getting optimal solutions is often out of the questio

废止 发表于 2025-3-22 23:42:07

https://doi.org/10.1007/978-981-19-7198-3 dominated the literature in Operations Research. This is because some of the nice properties such as monotonicity and convexity in Linear Programming are not always possible with NLP problems, so many local optimal solutions will exist, not just a single global optimization one. Figure . illustrate

FLIRT 发表于 2025-3-23 04:21:50

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absolve 发表于 2025-3-23 09:13:36

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查看完整版本: Titlebook: Combinatorial, Linear, Integer and Nonlinear Optimization Apps; COLINA Grande J. MacGregor Smith Textbook 2021 Springer Nature Switzerland