Algorithmics for hard problems introduction to combinatorial optimization, randomization, approximation, and heuristics by Juraj Hromkovic

Cover of: Algorithmics for hard problems | Juraj Hromkovic

Published by Springer-Verlag in Berlin .

Written in English

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Edition Notes

Book details

StatementJuraj Hromkovic.
Classifications
LC ClassificationsQA76
The Physical Object
Paginationxiii, 544 p. :
Number of Pages544
ID Numbers
Open LibraryOL22531691M
ISBN 103540441344

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Algorithmics for Hard Problems: Introduction to Combinatorial Optimization, Randomization, Approximation, and Heuristics 2nd Edition. Algorithmics for Hard Problems: Introduction to Combinatorial Optimization, Randomization, Approximation, and Heuristics.

2nd Edition. Find all the books, read about the author, and by:   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 Price: $ Because of this, the design of algorithms for solving hard problems is the core of current algorithmic research from the theoretical point Algorithmics for Hard Problems - Introduction to Combinatorial Optimization, Randomization, Approximation, and Heuristics | Juraj Hromkovič | SpringerBrand: Springer-Verlag Berlin Heidelberg.

Algorithmics for Hard Problems: Introduction to Combinatorial Optimization, Randomization, Approximation, and Heuristics. Algorithmic design, especially for hard problems, is more essential for success in solving them than any standard /5(5).

An introduction to theories and algorithms that have been developed to solve?hard. problems is provided in this book. The author defines these hard problems as those for which no low-order polynomial algorithm is known; they are thus not limited to NP-hard problems.

The book was written as a textbook for courses in basic algorithms, and advanced approximation and randomized algorithms. By Juraj Hromkovic: Algorithmics for Hard Problems: Introduction to Combinatorial Optimization, Randomization, Approximation, and Heuristics (Texts in Theoretical Computer Science.

An EATCS Series) on *FREE* shipping on qualifying offers. 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.

Algorithmics for Hard Problems Algorithmics for hard problems book Juraj Hromkovic,available at Book Depository with free delivery worldwide/5(5).

Algorithmics for Hard Problems Juraj Hromkovic This textbook provides a “cheap ticket” to the design of algorithms for hard computing problems, i.e., for problems for which no low-degree Author: Juraj Hromkovic.

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There are several approaches to attack hard problems. All have their merits, but also their limitations, and need a large body of theory as their basis. A number of books for each one exist: books on complexity theory, others on approximation algorithms, heuristic approaches, parametrized complexity, and yet others on randomized algorithms.

There are several approaches to attack hard problems. All have their merits, but also their limitations, and need a large body of theory as their basis. A number of books for each one exist: books on complexity theory, others on approximation algorithms, heuristic approaches, parametrized complexity, and yet others on randomized : Springer-Verlag Berlin Heidelberg.

There are several approaches to attack hard problems. All have their merits, but also their limitations, and need a large body of theory Algorithmics for hard problems book their basis. A number of books for each one exist: books on complexity theory, others on approximation algorithms, heuristic approaches, parametrized complexity, and yet others on randomized algorithms.

This book discusses thoroughly all of the above. Algorithmics for Hard Problems: Introduction to Combinatorial Optimization, Randomization, Approximation, and Heuristics Author: Prof.

Juraj Hromkovič Published by Springer Berlin Heidelberg ISBN: DOI: / Table of Contents: Introduction Elementary Fundamentals Deterministic Approaches. 图书Algorithmics for Hard Problems 介绍、书评、论坛及推荐. in detail, and, most importantly, to highlight under what circumstances which approach might be worth exploring.

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Juraj Hromkovič. English | PDF (Repost) | | Pages | ISBN: | MB. There are several approaches to attack hard problems. Algorithmics for Hard Problems Introduction to Combinatorial Optimization, Randomization, Approximation, and Heuristics The book mainly concentrates on approximate, randomized and heuristic algorithms, and on the theoretical and experimental comparison of these approaches according to the requirements of the practice.

but no book. Finally, the relationship of computers to human intelligence is discussed, emphasizing the "soft" heuristic, or intuitive, nature of the latter, and the problems involved in relating it to the "hard" scientific subject of algorithmics.

The book is intended to be read or studied sequentially, not be used as a reference. Algorithmic 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.

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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. algorithmics for hard problems, nally choosing as examples some applications in network communication and public-key cryptography. In its three-hundred-page length, the text makes up for a lack of detail in parts with a focussed narrative, and a selection of illustrative applications.

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.

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But there is no textbook that focuses on the design of algorithms for hard computing tasks, and that systematically explains, combines, and compares the Author: Juraj Hromkovic. Algorithmics for Hard Problems is an intriguing new book that attempts to ll an underserved niche: prac-tical methods for attacking those pesky problems that are NP-hard but must nevertheless be dealt with.

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[Juraj Hromkovič]. Get this from a library. Algorithmics for hard problems: introduction to combinatorial optimization, randomization, approximation, and heuristics.

[Juraj Hromkovič] -- This book is an introduction to the methods of designing algorithms for hard computing tasks. This area has developed very dynamically in the last years and is one of the kernels of current research. Also Author of our books "Communication Complexity and Parallel Computing", X and "Algorithmics for Hard Problems" 2nd ed., ; Advisory Board member of the EATCS series.

Table of Contents5/5(1). Algorithmics for Hard Problems. 副标题: 作者: Juraj Hromkovic 出版社: Springer 出版年: 页数: 定价: USD 装帧: Hardcover ISBN: and reductions to the basic problem). The nal Part IV is about ways of dealing with hard problems: NP-completeness, various heuristics, as well as quantum algorithms, perhaps the most advanced and modern topic.

As it happens, we end the story exactly where we started it, File Size: 1MB. New York: Springer, - p. There are several approaches to attack hard problems. All have their merits, but also their limitations, and need a large body of theory as their basis.

A number of books for each one exist: books on complexity theory, others on approximation algorithms. Algorithmics for Hard Problems - Introduction to Combinatorial Optimization, 2nd Edition -- [ Fr (ial_Many) submitted 1 minute ago by Financial_Many.

Synopsis The best selling 'Algorithmics' presents the most important, concepts, methods and results that are fundamental to the science of computing. It starts by introducing the basic ideas of algorithms, including their structures and methods of data manipulation.

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Haalamadrid. Read Algorithmics for Hard.CHAPTER 11 Hard Problems and (Limited) Sloppiness The best is the enemy of the good. — Voltaire This book is clearly about algorithmic problem solving.

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