9781461417002 - design and analysis of approximation algorithms: 62 (springer optimization and its applications, 62) de du, ding-zhu; ko, ker-i; hu, xiaodong (13 resultados)
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Editorial: Springer, 2011
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hardcover. Condición: Good. Hardcover. NOT Ex-library. Good condition. Previous owner's name inside front. Underlining/highlighting on 10 of first 13 pages. Side and bottom page edges have previous owner's name on them. Until further notice, USPS Priority Mail only reliable option for Hawaii. Proceeds benefit the Pima County Pub…lic Library system, which serves Tucson and southern Arizona. S13.
Idioma: Inglés
Editorial: Springer, 2011
Serie: Libro 52 de 176 - Springer Optimization and Its Applications
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Idioma: Inglés
Editorial: Springer, 2011
Serie: Libro 52 de 176 - Springer Optimization and Its Applications
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Condición: New. pp. 454 Index.
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Hardcover. Condición: Brand New. 440 pages. 9.25x6.25x1.25 inches. In Stock.
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 Appr…oximation 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. When exact solutions are difficult to compute, the use of approximation algorithms can help. 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. Even so, there are very few textbooks available for this course. Among those available in the market, most follow a problem-oriented format which is perhaps more convenient for researchers. This text follows a more structured, technique-oriented presentation. Approximation algorithms are organized into different chapters based on the design techniques for the algorithms, so that the reader can study approximation algorithms of the same nature, together. The structure of the text guides the reader to better understanding of the design and analysis techniques for approximation algorithms, and also helps the instructor to present the ideas and techniques of these algorithms in a more unified way.This textbook is intended for graduate students studying theoretical computer science. It can also be used as a reference work for researchers in the area of design and analysis of approximation algorithms.
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Serie: Libro 52 de 176 - Springer Optimization and Its Applications
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Condición: Hervorragend. Zustand: Hervorragend | Seiten: 452 | Sprache: Englisch | Produktart: Bücher | 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.
Idioma: Inglés
Editorial: Springer, 2011
Serie: Libro 52 de 176 - Springer Optimization and Its Applications
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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condición: new. Questo è un articolo print on demand.
Idioma: Inglés
Editorial: Springer New York Nov 2011, 2011
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. When exact solutions are difficult to compute, the use of approximation algorithms can help. 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. Even so, there are very few textbooks available for this course. Among those available in the market, most follow a problem-oriented format which is perhaps more convenient for researchers. This text follows a more structured, technique-oriented presentation. Approximation algorithms are organized into different chapters based on the design techniques for the algorithms, so that the reader can study approximation algorithms of the same nature, together. The structure of the text guides the reader to better understanding of the design and analysis techniques for approximation algorithms, and also helps the instructor to present the ideas and techniques of these algorithms in a more unified way.This textbook is intended for graduate students studying theoretical computer science. It can also be used as a reference work for researchers in the area of design and analysis of approximation algorithms. 452 pp. Englisch.
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Serie: Libro 52 de 176 - Springer Optimization and Its Applications
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Condición: New. Print on Demand pp. 454 Illus.
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Condición: New. PRINT ON DEMAND pp. 454.
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The technique-oriented approach provides a unified view of the design techniques for approximation algorithmsDetailed algorithms, as well as complete proofs and analyses, are presented for each techniqueNumerous examp…les help the reader to .
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Editorial: Springer, Springer Nov 2011, 2011
Serie: Libro 52 de 176 - Springer Optimization and Its Applications
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 Anal…ysis 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 452 pp. Englisch.
