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Combinatorial and Algorithmic Mathematics

From Foundation to Optimization
Authors: Alzalg, Baha;

Combinatorial and Algorithmic Mathematics

Abstract

This book provides an insightful and modern treatment of combinatorial and algorithmic mathematics, with an elegant transition from mathematical foundations to optimization. It is designed for mathematics, computer science, and engineering students. The book is crowned with modern optimization methodologies. Without the optimization part, the book can be used as a textbook in a one- or two-term undergraduate course in combinatorial and algorithmic mathematics. The optimization part can be used in a one-term high-level undergraduate course, or a low- to medium-level graduate course. The book spans xv+527 pages across 12 chapters, featuring 391 LaTeX pictures, 108 tables, and 218 illustrative examples. There are also 159 nontrivial exercises included at the end of the chapters, with complete solutions included at the end of the book. Complexity progressively grows, building upon previously introduced concepts. The book includes traditional topics as well as cutting-edge topics in modern optimization.

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Keywords

Mathematical foundations, Array and graph algorithms, Combinatorics, Semidefinite and cone programming, Analysis of algorithms, Discrete mathematics, Linear optimization

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
3
Top 10%
Top 10%
Average
11
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