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Springer Approximation Algorithms - Discrete Mathematics Book

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Description

Explore the theory of approximation algorithms with this comprehensive text from Springer. As many natural optimization problems are NP-hard, finding exact solutions is often prohibitively time consuming under the P != NP conjecture. This book provides a scientific inquiry into the landscape of approximability through polynomial-time algorithms. Divided into three distinct parts, the content covers combinatorial algorithms for various important problems. It serves as a specialized resource for those studying computer science and mathematics, specifically within the field of discrete mathematics. This text is essential for understanding how to navigate complex optimization challenges in academic and professional settings.

Key Features

This Springer publication provides a deep dive into the theory of approximation algorithms for computer science and mathematics.

The book is organized into three parts, including coverage of combinatorial algorithms for important problems in part one.

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Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
02 July 2001
Listed Since
18 January 2007

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