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Titlebook: Modeling Languages in Mathematical Optimization; Josef Kallrath Book 2004 Kluwer Academic Publishers 2004 Aimms.algebra.algorithms.Approxi

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发表于 2025-3-21 16:57:14 | 显示全部楼层 |阅读模式
书目名称Modeling Languages in Mathematical Optimization
编辑Josef Kallrath
视频video
丛书名称Applied Optimization
图书封面Titlebook: Modeling Languages in Mathematical Optimization;  Josef Kallrath Book 2004 Kluwer Academic Publishers 2004 Aimms.algebra.algorithms.Approxi
出版日期Book 2004
关键词Aimms; algebra; algorithms; Approximation; calculus; combinatorial optimization; Debugging; Mathematica; mat
版次1
doihttps://doi.org/10.1007/978-1-4613-0215-5
isbn_softcover978-1-4613-7945-4
isbn_ebook978-1-4613-0215-5Series ISSN 1384-6485
issn_series 1384-6485
copyrightKluwer Academic Publishers 2004
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https://doi.org/10.1007/978-1-4613-0215-5Aimms; algebra; algorithms; Approximation; calculus; combinatorial optimization; Debugging; Mathematica; mat
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978-1-4613-7945-4Kluwer Academic Publishers 2004
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Modeling Languages in Mathematical Optimization978-1-4613-0215-5Series ISSN 1384-6485
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1384-6485 Overview: 978-1-4613-7945-4978-1-4613-0215-5Series ISSN 1384-6485
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,Diversity and Diversity Management in UNISA’s Open Distance Learning Through Bernstein and Foucault’s Lens,nce learning (ODL) as both a human resource management (HRM) policy imperative and a philosophical challenge. The chapter proposes that diversity management can be viewed through Basil Bernstein’s lens of .. It posits that diversity and its management should be viewed as forms of knowledge and discu
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War and society,onsequences of military service on both society and the individual, to name just a few. To use a well-worn phrase, the difference between traditional and new military history is that the former is top-down, whereas the latter is bottom-up.
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Lifecycle of Cybersecurity Investments,udy sample providing an overview of studied population. In Sect. 5.2, the newly developed team performance measurement instrument and the gathered performance data is discussed. Testing of the research propositions are described in Sect. 5.3 and the final integration into a performance prediction model is summarized in Sect. 5.4.
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