Integer and Combinatorial Optimization (Wiley in Discrete Mathematics and Optimization) by George L. Nemhauser, Laurence A. Wolsey
Requirements: .PDF reader, 139 MB
Overview: This advanced text/reference is the most current, comprehensive treatment on the topic available. Presents the mathematical foundations of integer and combinatorial optimization models and the algorithms that can be used to solve a rich variety of problems in resource allocation, location, distribution, scheduling, and production. Includes chapters on polyhedral theory and model formulation with integer variables.
Part I covers linear programming, graphs and networks, and computational complexity. Part II covers integer programming, including duality, relaxation and strong cutting planes, and presents algorithms. Part III addresses combinatorial optimization, including 0-1 matrices, matching, and submodular function optimization. Contains many examples and applications.
Genre: Non-Fiction > Educational
Download Instructions:
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Requirements: .PDF reader, 139 MB
Overview: This advanced text/reference is the most current, comprehensive treatment on the topic available. Presents the mathematical foundations of integer and combinatorial optimization models and the algorithms that can be used to solve a rich variety of problems in resource allocation, location, distribution, scheduling, and production. Includes chapters on polyhedral theory and model formulation with integer variables.
Part I covers linear programming, graphs and networks, and computational complexity. Part II covers integer programming, including duality, relaxation and strong cutting planes, and presents algorithms. Part III addresses combinatorial optimization, including 0-1 matrices, matching, and submodular function optimization. Contains many examples and applications.
Genre: Non-Fiction > Educational
Download Instructions:
https://userupload.net/xcs0zo03oa9o
https://dropgalaxy.vip/fvt67ckhgmqa
Trouble downloading? Read This.