Read Interior-point Polynomial Algorithms in Convex Programming

Interior-point Polynomial Algorithms in Convex Programming

Yurii Nesterov

4.9/5 (32036 ratings)

Description: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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Interior-point Polynomial Algorithms in Convex Programming. To get started finding Interior-point Polynomial Algorithms in Convex Programming, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: 406

Format: PDF, EPUB & Kindle Edition

Publisher: SIAM

Release: 1994

ISBN: ifZs1vI5GBYC

Description: 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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Interior-point Polynomial Algorithms in Convex Programming. To get started finding Interior-point Polynomial Algorithms in Convex Programming, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Interior-point Polynomial Algorithms in Convex Programming

Interior-point Polynomial Algorithms in Convex Programming

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