Selfish Routing and the Price of Anarchy 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Selfish Routing and the Price of Anarchy

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Roughgarden, Tim 作者
Mit Pr
譯者
2005-5 出版日期
240 頁數
$ 42.94 價格
HRD
叢書系列
9780262182430 圖書編碼

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Selfish Routing and the Price of Anarchy 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Selfish Routing and the Price of Anarchy 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Selfish Routing and the Price of Anarchy 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Selfish Routing and the Price of Anarchy 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Selfish Routing and the Price of Anarchy 在線電子書 圖書描述

Most of us prefer to commute by the shortest route available, without taking into account the traffic congestion that we cause for others. Many networks, including computer networks, suffer from some type of this "selfish routing." In Selfish Routing and the Price of Anarchy, Tim Roughgarden studies the loss of social welfare caused by selfish, uncoordinated behavior in networks. He quantifies the price of anarchy -- the worst-possible loss of social welfare from selfish routing -- and also discusses several methods for improving the price of anarchy with centralized control.Roughgarden begins with a relatively nontechnical introduction to selfish routing, describing two important examples that motivate the problems that follow. The first, Pigou's Example, demonstrates that selfish behavior need not generate a socially optimal outcome. The second, the counterintiuitve Braess's Paradox, shows that network improvements can degrade network performance. He then develops techniques for quantifying the price of anarchy (with Pigou's Example playing a central role). Next, he analyzes Braess's Paradox and the computational complexity of detecting it algorithmically, and he describes Stackelberg routing, which improves the price of anarchy using a modest degree of central control. Finally, he defines several open problems that may inspire further research. Roughgarden's work will be of interest not only to researchers and graduate students in theoretical computer science and optimization but also to other computer scientists, as well as to economists, electrical engineers, and mathematicians.

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