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Combinatorial Optimization: Algorithms and Complexity by Christos H. Papadimitriou, Kenneth Steiglitz

Combinatorial Optimization: Algorithms and Complexity Christos H. Papadimitriou, Kenneth Steiglitz ebook
Publisher: Dover Publications
Page: 513
ISBN: 0486402584, 9780486402581
Format: djvu

Algorithms and Complexity by Herbert S. 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). Combinatorial Optimization: Algorithms and Complexity (Papadimitriou/Steiglitz). This comprehensive textbook on combinatorial optimization places special emphasis on theoretical results and algorithms with provably good performance, in contrast to. Papadimitriou and Kenneth Steiglitz, Combinatorial Optimization: Algorithms and Complexity, Corrected republication with a new preface, Dover. OBJECTIVE: To understand what can and cannot be achieved by computation especially by efficient computation. TOPICS: • Complexity theory • NP-completeness • Combinatorial algorithms • Approximation algorithms • Other topics depending on the interests in the class and time permitting. Combinatorial Optimization: Theory and Algorithms (Korte/Vygen). Randomized Algorithms (Motwani/Raghavan). Algorithms and Complexity - Computer & Information Science Algorithms and Complexity by Herbert S. 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. Combinatorial optimization: algorithms and complexity - Christos H. Among these patterns, the real encoding has been shown to have more capability for complex problems (Andrzej [26]). And Combinatorial Optimization INSTRUCTOR: Daya Gaur CLASS TIMES: Tuesday/Thursday 1:40 pm - 2:55 pm.