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Graph theory and its applications

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  • (BQ) Ebook Graph theory and its applications (Second edition): Part 1 includes the following content: Chapter 1 introduction to graph models, chapter 2 structure and representation, chapter 3 trees, chapter 4 spanning trees, chapter 5 connectivity, chapter 6 optimal graph traversals, chapter 7 planarity and kuratowski’s theorem, chapter 8 drawing graphs and maps, chapter 9 graph colorings.

    pdf435p runordie6 10-08-2022 4 3   Download

  • (BQ) Ebook Graph theory and its applications (Second edition): Part 2 includes the following content: Chapter 10 measurement and mappings, chapter 11 analytic graph theory, chapter 12 special digraph models, chapter 13 network flows and applications, chapter 14 graphical enumeration, chapter 15 algebraic specification of graphs, chapter 16 nonplanar layouts.

    pdf364p runordie6 10-08-2022 5 0   Download

  • This paper focuses on designing an application of service discovery on the basis of demand analysis, object-oriented service oriented routing. With the evolving variety of Web services today, it is essential to take advantages of these services to perform new complex tasks. Based on the researches of some of the world's researchers by the well-known articles [2], the author of this paper proposes a technique that uses graph theory combined with ACO optimization algorithm, to create the optimal route to support the service discovery problem.

    pdf13p visumika2711 17-07-2019 17 2   Download

  • The effective application of Markov chains has been paid much attention, and it has raised a lot of theoretical and applied problems. In this paper, we would like to approach one of these problems which is finding the long-run behavior of extremely huge-state Markov chains according to the direction of investigating the structure of Markov Graph to reduce complexity of computation. We focus on the way to access to the finite-state Markov chain theory via Graph theory.

    pdf8p tuanlocmuido 19-12-2012 43 3   Download

  • Random matrices are widely and successfully used in physics for almost 60-70 years, beginning with the works of Wigner and Dyson. Initially proposed to describe statistics of excited levels in complex nuclei, the Random Matrix Theory has grown far beyond nuclear physics, and also far beyond just level statistics. It is constantly developing into new areas of physics and mathematics, and now constitutes a part of the general culture and curriculum of a theoretical physicist.

    pdf517p camnhung_1 13-12-2012 63 10   Download

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