5 edition of **Algorithmics for hard problems** found in the catalog.

Algorithmics for hard problems

Juraj HromkoviДЌ

- 48 Want to read
- 39 Currently reading

Published
**2003**
by Springer-Verlag in Berlin, New York
.

Written in English

- Parallel processing (Electronic computers),
- Computational complexity

**Edition Notes**

Statement | Juraj Hromkovic̆. |

Series | Texts in theoretical computer science |

Classifications | |
---|---|

LC Classifications | QA76.58 .H76 2003, QA76.58 .H76 2003 |

The Physical Object | |

Pagination | xiii, 544 p. : |

Number of Pages | 544 |

ID Numbers | |

Open Library | OL18181338M |

ISBN 10 | 3540441344 |

LC Control Number | 2002032405 |

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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 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. On the whole, the book is well-written and forms a useful introduction to a wide variety of algorithmic methods.

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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 by 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. Browse Books. Home Browse by Title Analytical and experimental comparison of six algorithms for the vertex cover problem, Journal of Experimental Algorithmics (JEA), 15, (), Klein P and Young N Approximation algorithms for NP-hard optimization problems Algorithms and theory of computation handbook, ().

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 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.

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. No book on a single type of solution can do that, but this book does it in an absolutely fascinating way that can serve as a pattern for theory textbooks Author: Juraj Hromkovic.

Submit Report. Algorithmics for Hard Problems: Introduction to Combinatorial Optimization, Randomization, Approximation, and Heuristics, Second Edition By Prof.

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.

There are many general text books on. An EATCS Series) book online at best prices in India on Read Algorithmics for Hard Problems: Introduction to Combinatorial Optimization, Randomization, Approximation, and Heuristics (Texts in Theoretical Computer Science.

An EATCS Series) book reviews & author details and more at Free delivery on qualified orders.1/5(2). 12 Sep Classic Computer Science Puzzles. Software developers do have a proclivity for puzzles. Perhaps that's why books like To Mock a Mockingbird exist.

It's a collection of logic puzzles which is considered an introduction to lambda calculus, one of the core concepts of Lisp. Such puzzle questions are de rigueur for many programming interviews, though they're often abused.Maximum Cut Problem and Local Search Knapsack Problem and PTAS Traveling Salesperson Problem and Stability of Approximation Bin-Packing, Scheduling, and Dual Approximation Algorithms Inapproximability Introduction Reduction to NP-Hard Problems Approximation-Preserving File Size: KB.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.