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Titlebook: CATBox; An Interactive Cours Winfried Hochst?ttler,Alexander Schliep Textbook 2010 Springer-Verlag Berlin Heidelberg 2010 Graph.Graph theor

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發(fā)表于 2025-3-21 20:03:52 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱CATBox
副標(biāo)題An Interactive Cours
編輯Winfried Hochst?ttler,Alexander Schliep
視頻videohttp://file.papertrans.cn/221/220207/220207.mp4
概述Includes supplementary material:
圖書封面Titlebook: CATBox; An Interactive Cours Winfried Hochst?ttler,Alexander Schliep Textbook 2010 Springer-Verlag Berlin Heidelberg 2010 Graph.Graph theor
描述.Graph algorithms are easy to visualize and indeed there already exists a variety of packages to animate the dynamics when solving problems from graph theory. Still it can be difficult to understand the ideas behind the algorithm from the dynamic display alone...CATBox consists of a software system for animating graph algorithms and a course book which we developed simultaneously. The software system presents both the algorithm and the graph and puts the user always in control of the actual code that is executed. In the course book, intended for readers at advanced undergraduate or graduate level, computer exercises and examples replace the usual static pictures of algorithm dynamics...For this volume we have chosen solely algorithms for classical problems from combinatorial optimization, such as minimum spanning trees, shortest paths, maximum flows, minimum cost flows, weighted and unweighted matchings both for bipartite and non-bipartite graphs...Find more information at http://schliep.org/CATBox/..
出版日期Textbook 2010
關(guān)鍵詞Graph; Graph theory; Matching; Maxima; Sim; algorithms; combinatorial optimization; complexity; computer; dat
版次1
doihttps://doi.org/10.1007/978-3-642-03822-8
isbn_softcover978-3-540-14887-6
isbn_ebook978-3-642-03822-8
copyrightSpringer-Verlag Berlin Heidelberg 2010
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Linear Programming Duality,mming duality.The reader not interested in the more advanced algorithms of this book can feelfree to skip this chapter. The mathematics of this chapter is inevitable though, tofully appreciate the algorithms for mincost-flow and weighted matching.
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Maximal Flows,work at minimum cost. In more realistic problems from transportation we usually have to deal with capacity constraints, limiting the amount of flow across arcs. Hence, the basic problem in a capacitated network is to send as much flow as possible between two designated vertices, more precisely from
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Minimum-Cost Flows,an for period j as a shortest path. If we have capacities on the edges as well, the problem becomes a combination of a shortest path and a flow problem called a min-cost-flow-problem, which is the kind of problem we will discuss in this chapter. Compared to its simplest form, namely when we interpre
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Matching,t u and v are related. Take the assignment of students which share a room in a dormitory as an example. The students are our objects and the relation is .. The endpoints of any edge are roommates. If there are only double rooms in the dormitory, a pairing of roommates is a ..
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,Organisationstheoretische überlegungen,t the shortest path problem as the task to send one unit of flow from s to t at minimum cost, here, the problem becomes more complex. We may have an arbitrary number of supply and demand vertices, we call them sources and sinks, respectively.
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