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

And Combinatorial Optimization INSTRUCTOR: Daya Gaur CLASS TIMES: Tuesday/Thursday 1:40 pm - 2:55 pm. OBJECTIVE: To understand what can and cannot be achieved by computation especially by efficient computation. The computational complexity and approximability of the problem of minimizing OWA for the considered class of problems are investigated and some new positive and negative results in this area are provided. Research Areas: Computational Complexity, Graph Theory and Combinatorial Optimization. Black-box optimization, oracle complexity. Computer Science > Data Structures and Algorithms By using OWA, the traditional min-max approach to combinatorial optimization problems with uncertain costs, often regarded as too conservative, can be generalized. This is the theory of black-box optimization. And it also naturally leads to algorithms that work in linear time, and which are thus well-suited for large-scale optimization. TOPICS: • Complexity theory • NP-completeness • Combinatorial algorithms • Approximation algorithms • Other topics depending on the interests in the class and time permitting. Prerequisites: Reasonable mathematical maturity, knowledge of algorithm design and analysis. Applied Optimization #98: Optimization Theory and Methods. Combinatorial Optimization: Algorithms and Complexity (Dover Books. Combinatorial Optimization: Algorithms and Complexity PDF Download Ebook.