Handbook of Large-Scale Random Networks

Handbook of Large-Scale Random Networks

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With the advent of digital computers more than half a century ago, - searchers working in a wide range of scienti?c disciplines have obtained an extremely powerful tool to pursue deep understanding of natural processes in physical, chemical, and biological systems. Computers pose a great ch- lenge to mathematical sciences, as the range of phenomena available for rigorous mathematical analysis has been enormously expanded, demanding the development of a new generation of mathematical tools. There is an explosive growth of new mathematical disciplines to satisfy this demand, in particular related to discrete mathematics. However, it can be argued that at large mathematics is yet to provide the essential breakthrough to meet the challenge. The required paradigm shift in our view should be compa- ble to the shift in scienti?c thinking provided by the Newtonian revolution over 300 years ago. Studies of large-scale random graphs and networks are critical for the progress, using methods of discrete mathematics, probabil- tic combinatorics, graph theory, and statistical physics. Recent advances in large scale random network studies are described in this handbook, which provides a signi?cant update and extension - yond the materials presented in the a€œHandbook of Graphs and Networksa€ published in 2003 by Wiley. The present volume puts special emphasis on large-scale networks and random processes, which deemed as crucial for - tureprogressinthe?eld. Theissuesrelatedtorandomgraphsandnetworks pose very di?cult mathematical questions.We start from an initial set of 103 pioneer neurons. Pioneer neurons are modeled as small balls densely packed in a small area of characteristic size of 10I¼. During ... A schematic view of the initial stage of development is shown in Fig. 5. 3.2.1anbsp;...


Title:Handbook of Large-Scale Random Networks
Author: Bela Bollobas, Robert Kozma, Dezső Miklós
Publisher:Springer Science & Business Media - 2010-05-17
ISBN-13:

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