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

In many practical situations heuristic algorithms reliably give satisfactory solutions to real-life instances of optimization problems, despite evidence from computational complexity theory that the problems are intractable in general. Our long-term goal is to Much of his work has concerned parallel algorithms, the probabilistic analysis of combinatorial optimization algorithms and the construction of randomized algorithms for combinatorial problems. Book Title: Combinatorial Optimization: Algorithms and Complexity (Dover Books on Computer Science). 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. Algorithms and Combinatorics #21: Combinatorial Optimization: Theory and Algorithms. Areas of interest include (but are not limited to) algorithmics, approximation algorithms, algorithmic discrete mathematics, computational complexity and combinatorial optimization. Theory and Algorithms Combinatorial Optimization: Algorithm and Complexity - Cristos H. And Combinatorial Optimization INSTRUCTOR: Daya Gaur CLASS TIMES: Tuesday/Thursday 1:40 pm - 2:55 pm. Combinatorial Optimization by Christos.