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Algorithmics for Hard Problems

Introduction to Combinatorial Optimization, Randomization, Approximation, and Heuristics. Professional/practitioner
Ranking4564inInformatik EDV
BookPaperback
538 pages
English
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Cover TextAlgorithmic design, especially for hard problems, is more essential for success in solving them than any standard improvement of current computer tech nologies. Because of this, the design of algorithms for solving hard problems is the core of current algorithmic research from the theoretical point of view as well as from the practical point of view. There are many general text books on algorithmics, and several specialized books devoted to particular approaches such as local search, randomization, approximation algorithms, or heuristics. But there is no textbook that focuses on the design of algorithms for hard computing tasks, and that systematically explains, combines, and compares the main possibilities for attacking hard algorithmic problems. As this topic is fundamental for computer science, this book tries to close this gap. Another motivation, and probably the main reason for writing this book, is connected to education. The considered area has developed very dynami cally in recent years and the research on this topic discovered several profound results, new concepts, and new methods. Some of the achieved contributions are so fundamental that one can speak about paradigms which should be in cluded in the education of every computer science student. Unfortunately, this is very far from reality. This is because these paradigms are not sufficiently known in the computer science community, and so they are insufficiently com municated to students and practitioners.
Summary2nd edition
Details
ISBN/GTIN978-3-642-07909-2
Product TypeBook
BindingPaperback
Publishing year2010
Publishing date15/11/2010
Edition2. A.
Pages538 pages
LanguageEnglish
SizeWidth 155 mm, Height 235 mm
Weight842 g
Article no.10855529
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Content/Review

Table of Content1 Introduction.- 2 Elementary Fundamentals.- 3 Deterministic Approaches.- 4 Approximation Algorithms.- 5 Randomized Algorithms.- 6 Heuristics.- 7 A Guide to Solving Hard Problems.- References.

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