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Feasibility And Infeasibility In Optimization
Publisher:
Springer India
| Author:
John W. Chinneck
| Language:
English
| Format:
Paperback
Publisher:
Springer India
Author:
John W. Chinneck
Language:
English
Format:
Paperback
₹1,295 ₹1,100
Save: 15%
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ISBN:
SKU
9788132231585
Category Computer Engineering/IT Engineering
Category: Computer Engineering/IT Engineering
Page Extent:
274
Feasibility and Infeasibility in Optimization is an expository book focused on practical algorithms related to feasibility and infeasibility in optimization. Part I addresses algorithms for seeking feasibility quickly, including recent algorithms for the difficult cases of nonlinear and mixed-integer programs. Part II provides algorithms for analyzing infeasibility by isolating minimal infeasible (or maximum feasible) subsets of constraints, or by finding the best repair for the infeasibility. Part III describes surprising applications in areas such as classification, computational biology, and medicine. Connections to constraint programming are shown. A main goal is to impart an understanding of the methods so that practitioners can make immediate use of existing algorithms and software, and so that researchers can extend the state of the art and find new applications. The book is of interest to researchers, students, and practitioners across the applied sciences who are working on optimization problems.
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Description
Feasibility and Infeasibility in Optimization is an expository book focused on practical algorithms related to feasibility and infeasibility in optimization. Part I addresses algorithms for seeking feasibility quickly, including recent algorithms for the difficult cases of nonlinear and mixed-integer programs. Part II provides algorithms for analyzing infeasibility by isolating minimal infeasible (or maximum feasible) subsets of constraints, or by finding the best repair for the infeasibility. Part III describes surprising applications in areas such as classification, computational biology, and medicine. Connections to constraint programming are shown. A main goal is to impart an understanding of the methods so that practitioners can make immediate use of existing algorithms and software, and so that researchers can extend the state of the art and find new applications. The book is of interest to researchers, students, and practitioners across the applied sciences who are working on optimization problems.
About Author
John W. Chinneck is a professor in the Department of Systems and Computer Engineering at Carleton University in Ottawa, Canada. He has served as the Editor-in-Chief of the INFORMS Journal on Computing (2007-2012), and has been the recipient of an IBM Faculty Award and several other research awards.
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