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Springer Combinatorial Optimization: Theory and Algorithms

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Description

This comprehensive textbook by Springer provides an in-depth look at combinatorial optimization, focusing on theoretical results and algorithms with provably good performance. Unlike books centered on heuristics, this text is built from numerous graduate-level courses to ensure academic rigor. It covers fundamental concepts including paths, flows, matching, matroids, NP-completeness, and approximation algorithms in great detail. The content moves from these classical topics into advanced and recent subject matter that is often unavailable in other textbooks. Every concept is supported by complete but concise proofs, making it an essential resource for students and researchers in mathematics and computer science.

Key Features

This Springer textbook focuses on theoretical results and algorithms with provably good performance rather than simple heuristics.

The content is developed from specialized graduate-level courses on combinatorial optimization and related topics.

Detailed coverage is provided for classical topics such as paths, flows, matching, matroids, and NP-completeness.

Readers can study advanced and recent topics that have not appeared in previous textbooks.

The book includes complete but concise proofs throughout the text to support mathematical rigor.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
11 January 2019
Listed Since
10 January 2019

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No barcode data available

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