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Interior-point Polynomial Algorithms in Convex Programming

Download or Read eBook Interior-point Polynomial Algorithms in Convex Programming PDF written by Yurii Nesterov and published by SIAM. This book was released on 1994-01-01 with total page 414 pages. Available in PDF, EPUB and Kindle.
Interior-point Polynomial Algorithms in Convex Programming
Author :
Publisher : SIAM
Total Pages : 414
Release :
ISBN-10 : 1611970792
ISBN-13 : 9781611970791
Rating : 4/5 (92 Downloads)

Book Synopsis Interior-point Polynomial Algorithms in Convex Programming by : Yurii Nesterov

Book excerpt: Specialists working in the areas of optimization, mathematical programming, or control theory will find this book invaluable for studying interior-point methods for linear and quadratic programming, polynomial-time methods for nonlinear convex programming, and efficient computational methods for control problems and variational inequalities. A background in linear algebra and mathematical programming is necessary to understand the book. The detailed proofs and lack of "numerical examples" might suggest that the book is of limited value to the reader interested in the practical aspects of convex optimization, but nothing could be further from the truth. An entire chapter is devoted to potential reduction methods precisely because of their great efficiency in practice.


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