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๐Ÿ“

Interior Point Approach to Linear, Quadratic and Convex Programming: Algorithms and Complexity

โœ Scribed by D. den Hertog (auth.)


Publisher
Springer Netherlands
Year
1994
Tongue
English
Leaves
213
Series
Mathematics and Its Applications 277
Edition
1
Category
Library

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โœฆ Synopsis


This book describes the rapidly developing field of interior point methods (IPMs). An extensive analysis is given of path-following methods for linear programming, quadratic programming and convex programming. These methods, which form a subclass of interior point methods, follow the central path, which is an analytic curve defined by the problem. Relatively simple and elegant proofs for polynomiality are given. The theory is illustrated using several explicit examples. Moreover, an overview of other classes of IPMs is given. It is shown that all these methods rely on the same notion as the path-following methods: all these methods use the central path implicitly or explicitly as a reference path to go to the optimum.
For specialists in IPMs as well as those seeking an introduction to IPMs. The book is accessible to any mathematician with basic mathematical programming knowledge.

โœฆ Table of Contents


Front Matter....Pages i-xii
Introduction of IPMs....Pages 1-8
The logarithmic barrier method....Pages 9-71
The center method....Pages 73-109
Reducing the complexity for LP....Pages 111-143
Discussion of other IPMs....Pages 145-167
Summary, conclusions and recommendations....Pages 169-173
Back Matter....Pages 175-210

โœฆ Subjects


Optimization; Algorithms; Theory of Computation; Convex and Discrete Geometry; Numeric Computing


๐Ÿ“œ SIMILAR VOLUMES


Interior-point polynomial algorithms in
โœ Iu. E. Nesterov, Arkadii Nemirovskii, Yurii Nesterov ๐Ÿ“‚ Library ๐Ÿ“… 1994 ๐Ÿ› Society for Industrial and Applied Mathematics ๐ŸŒ English

Written for specialists working in optimization, mathematical programming, or control theory. The general theory of path-following and potential reduction interior point polynomial time methods, interior point methods, interior point methods for linear and quadratic programming, polynomial time

Interior-Point Polynomial Algorithms in
โœ Iu. E. Nesterov, Arkadii Nemirovskii, Yurii Nesterov ๐Ÿ“‚ Library ๐Ÿ“… 1994 ๐Ÿ› Soc for Industrial & Applied Math ๐ŸŒ English

Written for specialists working in optimization, mathematical programming, or control theory. The general theory of path-following and potential reduction interior point polynomial time methods, interior point methods, interior point methods for linear and quadratic programming, polynomial time