Isbn: 9783540653677 - approximation algorithms (28 resultados)

Hardback. Condición: Fair. In Part I we cover combinato rial algorithms for a number of important problems, using a wide variety of algorithm design techniques. Instead, we have attempted to capture, as accurately as possible, the individual character of each problem, and point out connections between problems and algorithms for solving them.…

Hardback. Condición: Fair. In Part I we cover combinato rial algorithms for a number of important problems, using a wide variety of algorithm design techniques. Instead, we have attempted to capture, as accurately as possible, the individual character of each problem, and point out connections between problems and algorithms for solving them.…

Hardcover. Condición: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

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hardcover. Condición: New. In shrink wrap. Looks like an interesting title.

hardcover. Condición: New. In shrink wrap. Looks like an interesting title.

Condición: As New. Unread book in perfect condition.

Hardcover. Condición: new. Hardcover. This book covers the dominant theoretical approaches to the approximate solution of hard combinatorial optimization and enumeration problems. It contains elegant combinatorial theory, useful and interesting algorithms, and deep results about the intrinsic complexity of combinatorial problems. Its clarity of exposition and excellent selection of exercises will make it accessible and appealing to all those with a taste for mathematics and algorithms.Richard Karp,University Professor, University of California at BerkeleyFollowing the development of basic combinatorial optimization techniques in the 1960s and 1970s, a main open question was to develop a theory of approximation algorithms. In the 1990s, parallel developments in techniques for designing approximation algorithms as well as methods for proving hardness of approximation results have led to a beautiful theory. The need to solve truly large instances of computationally hard problems, such as those arising from the Internet or the human genome project, has also increased interest in this theory. The field is currently very active, with the toolbox of approximation algorithm design techniques getting always richer.It is a pleasure to recommend Vijay Vazirani's well-written and comprehensive book on this important and timely topic.I am sure the reader will find it most useful both as an introduction to approximability as well as a reference to the many aspects of approximation algorithms.Laszlo Lovasz, Senior Researcher, Microsoft Research Part I covers combinatorial algorithms for a number of important problems, using a wide variety of algorithm design techniques. the third topic is centered around recent breakthrough results, establishing hardness of approximation for many key problems, and giving new legitimacy to approximation algorithms as a deep theory; Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.…

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Condición: New. In English.

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Hardback. Condición: New. 1st ed. 2001. Corr. 2nd printing 2002. Most natural optimization problems, including those arising in important application areas, are NP-hard. Therefore, under the widely believed conjecture that P?NP, their exact solution is prohibitively time consuming. Charting the landscape of approximability of these problems, via polynomial-time algorithms, therefore becomes a compelling subject of scientific inquiry in computer science and mathematics. This book presents the theory of approximation algorithms.This book is divided into three parts. Part I covers combinatorial algorithms for a number of important problems, using a wide variety of algorithm design techniques. Part II presents linear programming based algorithms. These are categorized under two fundamental techniques: rounding and the primal-dual schema. Part III covers four important topics: the first is the problem of finding a shortest vector in a lattice; the second is the approximability of counting, as opposed to optimization, problems; the third topic is centered around recent breakthrough results, establishing hardness of approximation for many key problems, and giving new legitimacy to approximation algorithms as a deep theory; and the fourth topic consists of the numerous open problems of this young field.This book is suitable for use in advanced undergraduate and graduate-level courses on approximation algorithms. An undergraduate course in algorithms and the theory of NP-completeness should suffice as a prerequisite for most of the chapters. This book can also be used as supplementary text in basic undergraduate and graduate algorithms courses.…

Condición: As New. Unread book in perfect condition.

Hardcover. Condición: new. Hardcover. This book covers the dominant theoretical approaches to the approximate solution of hard combinatorial optimization and enumeration problems. It contains elegant combinatorial theory, useful and interesting algorithms, and deep results about the intrinsic complexity of combinatorial problems. Its clarity of exposition and excellent selection of exercises will make it accessible and appealing to all those with a taste for mathematics and algorithms.Richard Karp,University Professor, University of California at BerkeleyFollowing the development of basic combinatorial optimization techniques in the 1960s and 1970s, a main open question was to develop a theory of approximation algorithms. In the 1990s, parallel developments in techniques for designing approximation algorithms as well as methods for proving hardness of approximation results have led to a beautiful theory. The need to solve truly large instances of computationally hard problems, such as those arising from the Internet or the human genome project, has also increased interest in this theory. The field is currently very active, with the toolbox of approximation algorithm design techniques getting always richer.It is a pleasure to recommend Vijay Vazirani's well-written and comprehensive book on this important and timely topic.I am sure the reader will find it most useful both as an introduction to approximability as well as a reference to the many aspects of approximation algorithms.Laszlo Lovasz, Senior Researcher, Microsoft Research Part I covers combinatorial algorithms for a number of important problems, using a wide variety of algorithm design techniques. the third topic is centered around recent breakthrough results, establishing hardness of approximation for many key problems, and giving new legitimacy to approximation algorithms as a deep theory; Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Hardback. Condición: New. 1st ed. 2001. Corr. 2nd printing 2002. Most natural optimization problems, including those arising in important application areas, are NP-hard. Therefore, under the widely believed conjecture that P?NP, their exact solution is prohibitively time consuming. Charting the landscape of approximability of these problems, via polynomial-time algorithms, therefore becomes a compelling subject of scientific inquiry in computer science and mathematics. This book presents the theory of approximation algorithms.This book is divided into three parts. Part I covers combinatorial algorithms for a number of important problems, using a wide variety of algorithm design techniques. Part II presents linear programming based algorithms. These are categorized under two fundamental techniques: rounding and the primal-dual schema. Part III covers four important topics: the first is the problem of finding a shortest vector in a lattice; the second is the approximability of counting, as opposed to optimization, problems; the third topic is centered around recent breakthrough results, establishing hardness of approximation for many key problems, and giving new legitimacy to approximation algorithms as a deep theory; and the fourth topic consists of the numerous open problems of this young field.This book is suitable for use in advanced undergraduate and graduate-level courses on approximation algorithms. An undergraduate course in algorithms and the theory of NP-completeness should suffice as a prerequisite for most of the chapters. This book can also be used as supplementary text in basic undergraduate and graduate algorithms courses.…

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Hardcover. Condición: Brand New. 378 pages. German language. 9.25x6.50x1.00 inches. In Stock. This item is printed on demand.

Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Spreads powerful algorithmic ideas developed in this area to practitionersWill accelerate progress in this areaRaises algorithmic awareness of the scientific community by showing simple ways of expressing complex algorithmic ideasAn indispensabl.…