Design and Analysis of Approximation Algorithms pdf epub mobi txt 电子书 下载 2024


Design and Analysis of Approximation Algorithms

简体网页||繁体网页
Du, Ding-Zhu; Ko, Ker-I; Hu, Xiaodong
2011-11
454
$ 84.69
9781461417002

图书标签: 计算机科学  Approximation  of  and  Springer  Design  Analysis  Algorithms   


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发表于2024-12-24

Design and Analysis of Approximation Algorithms epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

Design and Analysis of Approximation Algorithms epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

Design and Analysis of Approximation Algorithms pdf epub mobi txt 电子书 下载 2024



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This book is intended to be used as a textbook for graduate students studying theoretical computer science. It can also be used as a reference book for researchers in the area of design and analysis of approximation algorithms. Design and Analysis of Approximation Algorithms is a graduate course in theoretical computer science taught widely in the universities, both in the United States and abroad. There are, however, very few textbooks available for this course. Among those available in the market, most books follow a problem-oriented format; that is, they collected many important combinatorial optimization problems and their approximation algorithms, and organized them based on the types, or applications, of problems, such as geometric-type problems, algebraic-type problems, etc. Such arrangement of materials is perhaps convenient for a researcher to look for the problems and algorithms related to his/her work, but is difficult for a student to capture the ideas underlying the various algorithms. In the new book proposed here, we follow a more structured, technique-oriented presentation. We organize approximation algorithms into different chapters, based on the design techniques for the algorithms, so that the reader can study approximation algorithms of the same nature together. It helps the reader to better understand the design and analysis techniques for approximation algorithms, and also helps the teacher to present the ideas and techniques of approximation algorithms in a more unified way.

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