β Scribed by Krishnaiyan βKTβ Thulasiraman (Editor), Subramanian Arumugam (Editor), Andreas BrandstΓ€dt (Editor), Takao Nishizeki (Editor)
No coin nor oath required. For personal study only.
The fusion between graph theory and combinatorial optimization has led to theoretically profound and practically useful algorithms, yet there is no book that currently covers both areas together. Handbook of Graph Theory, Combinatorial Optimization, and Algorithms is the first to present a unified, comprehensive treatment of both graph theory and combinatorial optimization. Divided into 11 cohesive sections, the handbookβs 44 chapters focus on graph theory, combinatorial optimization, and algorithmic issues. The book provides readers with the algorithmic and theoretical foundations to:
β’ Understand phenomena as shaped by their graph structures
β’ Develop needed algorithmic and optimization tools for the study of graph structures
β’ Design and plan graph structures that lead to certain desirable behavior
With contributions from more than 40 worldwide experts, this handbook equips readers with the necessary techniques and tools to solve problems in a variety of applications. Readers gain exposure to the theoretical and algorithmic foundations of a wide range of topics in graph theory and combinatorial optimization, enabling them to identify (and hence solve) problems encountered in diverse disciplines, such as electrical, communication, computer, social, transportation, biological, and other networks.
Content: Basic Concepts and Algorithms. Flows in Networks. Algebraic Graph Theory. Structural Graph Theory. Planar Graphs. Interconnection Networks. Special Graphs. Partitioning. Matroids. Probabilistic Methods, Random Graph Models, and Randomized Algorithms. Coping with NP-Completeness.
Algorithms.;Combinatorial optimization.;Graph theory.;Algorithmes.;Optimisation combinatoire.;Algorithms;Combinatorial optimization;Graph theory;Mathematics -- General
π SIMILAR VOLUMES
This is the most comprehensive compilation on combinatorial optiomization I have seen so far. Usually, Papadimitriou's book is a good place for this material - but in many cases, looking for proofs and theorems - I had to use several books: (*) Combinatorial Optimization Algorithms and Complexity by
<span>This comprehensive textbook on combinatorial optimization places specialemphasis on theoretical results and algorithms with provably goodperformance, in contrast to heuristics. It is based on numerous courses on combinatorial optimization and specialized topics, mostly at graduate level. This