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Titlebook: Topics in Combinatorial Optimization; Sergio Rinaldi Book 1975 Springer Science+Business Media New York 1975 Kombinatorische Optimierung.O

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發(fā)表于 2025-3-21 19:04:46 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Topics in Combinatorial Optimization
編輯Sergio Rinaldi
視頻videohttp://file.papertrans.cn/927/926109/926109.mp4
叢書(shū)名稱(chēng)CISM International Centre for Mechanical Sciences
圖書(shū)封面Titlebook: Topics in Combinatorial Optimization;  Sergio Rinaldi Book 1975 Springer Science+Business Media New York 1975 Kombinatorische Optimierung.O
出版日期Book 1975
關(guān)鍵詞Kombinatorische Optimierung; Optimization; combinatorial optimization; complexity; flow; foundation; infor
版次1
doihttps://doi.org/10.1007/978-3-7091-3291-3
isbn_softcover978-3-211-81339-3
isbn_ebook978-3-7091-3291-3Series ISSN 0254-1971 Series E-ISSN 2309-3706
issn_series 0254-1971
copyrightSpringer Science+Business Media New York 1975
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Optimal Constrained Cycles in Graphs,This chapter is devoted to the study of some constrained Periodic Optimization problems which have been considered in the literature.
板凳
發(fā)表于 2025-3-22 00:51:54 | 只看該作者
Overview of Network Flow Theory,Our purpose here is to give a brief review of the principal results of network flow theory, including “classical” results and some newer results concerning the complexity of network flow computations.
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978-3-211-81339-3Springer Science+Business Media New York 1975
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Topics in Combinatorial Optimization978-3-7091-3291-3Series ISSN 0254-1971 Series E-ISSN 2309-3706
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Computing Shortest Paths in Networks,are among the most widely used. The reader is probably aware that a variety of optimization problems, some of which appear to have little to do with paths in networks, can be formulated as shortest path problems.
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Complexity of Combinatorial Computations,ty, which are the central focus of recursive function theory, are an issue. If we wish to solve any given problem, all we need to do, in principle, is to make a list of all possible feasible solution, evaluate the cost of each one, and choose the best. This “solves” the problem at hand.
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