The Design Of Approximation Algorithms Williamson


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Approximation Algorithms


Approximation Algorithms

Author: Vijay V. Vazirani

language: en

Publisher: Springer Science & Business Media

Release Date: 2002-12-05


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Covering the basic techniques used in the latest research work, the author consolidates progress made so far, including some very recent and promising results, and conveys the beauty and excitement of work in the field. He gives clear, lucid explanations of key results and ideas, with intuitive proofs, and provides critical examples and numerous illustrations to help elucidate the algorithms. Many of the results presented have been simplified and new insights provided. Of interest to theoretical computer scientists, operations researchers, and discrete mathematicians.

Network Flow Algorithms


Network Flow Algorithms

Author: David P. Williamson

language: en

Publisher: Cambridge University Press

Release Date: 2019-09-05


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Network flow theory has been used across a number of disciplines, including theoretical computer science, operations research, and discrete math, to model not only problems in the transportation of goods and information, but also a wide range of applications from image segmentation problems in computer vision to deciding when a baseball team has been eliminated from contention. This graduate text and reference presents a succinct, unified view of a wide variety of efficient combinatorial algorithms for network flow problems, including many results not found in other books. It covers maximum flows, minimum-cost flows, generalized flows, multicommodity flows, and global minimum cuts and also presents recent work on computing electrical flows along with recent applications of these flows to classical problems in network flow theory.

A Gentle Introduction to Optimization


A Gentle Introduction to Optimization

Author: B. Guenin

language: en

Publisher: Cambridge University Press

Release Date: 2014-07-31


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Assuming only basic linear algebra, this textbook is the perfect starting point for undergraduate students from across the mathematical sciences.