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Combinatorial Optimization: Algorithms and Complexity Christos H. Papadimitriou, Kenneth Steiglitz
Publisher: Dover Publications

Steiglitz, Combinatorial Optimization : Algorithms and Complexity. A background in computer science or mathematics (preferably with a specialization in one of the following topics: combinatorial optimization, discrete mathematics, approximation algorithms and computational complexity). We present characterization and complexity results on the universally balancedness property for some classes of interesting combinatorial optimization games. Amazon.com: Combinatorial Optimization: Algorithms and Complexity (Dover Books on Computer Science) (9780486402581): Christos H. Hochbaum, Approximation Algorithms for NP-Hard Problems. Combinatorial Optimization: algorithms and complexity - Christos H. Combinatorial optimization Combinatorial optimization : algorithms and complexity / Christos H. Due to the NP completeness of many combinatorial optimization problems, they are quite difficult to be solved analytically, and exact search algorithms such as branch and bound may degenerate to complete enumeration, and the CPU time needed to solve them may grow exponentially in the worst case. This comprehensive textbook on combinatorial optimization places special emphasis on theoretical results and algorithms with provably good performance, in contrast to. Algorithms and Complexity - Herbert S. Among these patterns, the real encoding has been shown to have more capability for complex problems (Andrzej [26]).