The Design of Approximation Algorithms
Discrete optimization problems are everywhere, from traditional operations research planning problems, such as scheduling, facility location, and network design; to computer science problems in databases; to advertising issues in viral marketing. Get and download textbook The Design of Approximation Algorithms for free
author david b shmoys author david p williamson format hardback language english subject computing it subject 2 computing professional programming the design of approximation algorithms david b shmoys hardcover 9780521195270 author biography david p williamson is a professor at cornell university with a joint appointment in the school of operations research and information engineering and in the department of information science prior to joining cornell he was a research staff member at the ibm
Yet most such problems are NP-hard. Thus unless P = NP, there are no efficient algorithms to find optimal solutions to such problems. This book shows how to design approximation algorithms: efficient algorithms that find provably near-optimal solutions. The book is organized around central algorithmic techniques for designing approximation algorithms, including greedy and local search algorithms, dynamic programming, linear and semidefinite programming, and randomization. Each chapter in the first The Design of Approximation Algorithms new edition
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The design of approximation algorithms - Shmoys D., Williamson D.
TheNile.com.au About FAQ Payment Delivery Contact Us 1800-987-323 The Design of Approximation Algorithms (English) by David P. Williamson , David B. Shmoys Format Hardcover Condition Brand New Language English Designed as a textbook for graduate courses on algorithms, this book presents efficient algorithms that find provably near-optimal solutions. Publisher Description Discrete optimization problems are everywhere, from traditional operations research planning problems, such as scheduling, fa
The Design of Approximation Algorithms : Hardback : CAMBRIDGE UNIVERSITY PRESS : 9780521195270 : 0521195276 : 26 Apr 2011 : Designed as a textbook for graduate courses on algorithms, this book presents efficient algorithms that find provably near-optimal solutions.
Discrete optimization problems are everywhere, from traditional operations research planning (scheduling, facility location and network design); to computer science databases; to advertising issues in viral marketing. Yet most such problems are NP-hard; unless P = NP, there are no efficient algorithms to find optimal solutions. This book shows how to design approximation algorithms: efficient algorithms that find provably near-optimal solutions. The book is organized around central algorithmic techniques for designing approximation algorithms, including greedy and local search algorithms, dyna
The Design of Approximation Algorithms Textbook
Yet most such problems are NP-hard. Thus unless P = NP, there are no efficient algorithms to find optimal solutions to such problems. This book shows how to design approximation algorithms: efficient algorithms that find provably near-optimal solutions. The book is organized around central algorithmic techniques for designing approximation algorithms, including greedy and local search algorithms, dynamic programming, linear and semidefinite programming, and randomization
et most such problems are NP-hard. Thus unless P = NP, there are no efficient algorithms to find optimal solutions to such problems. This book shows how to design approximation algorithms: efficient algorithms that find provably near-optimal solutions. The book is organized around central algorithmic techniques for designing approximation algorithms, including greedy and local search algorithms, dynamic programming, linear and semidefinite programming, and randomization. Each chapter in the first
