A Mathematical View of Interior-point Methods in Convex Optimization

Released on by James Renegar
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  • A Mathematical View of Interior-point Methods in Convex Optimization Book Detail

  • Author : James Renegar
  • Release Date : 2001-01-01
  • Publisher : SIAM
  • Genre : Mathematics
  • Pages : 124
  • ISBN 13 : 9780898718812
  • File Size : 13,13 MB
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A Mathematical View of Interior-point Methods in Convex Optimization by James Renegar PDF Summary

Book Description: Here is a book devoted to well-structured and thus efficiently solvable convex optimization problems, with emphasis on conic quadratic and semidefinite programming. The authors present the basic theory underlying these problems as well as their numerous applications in engineering, including synthesis of filters, Lyapunov stability analysis, and structural design. The authors also discuss the complexity issues and provide an overview of the basic theory of state-of-the-art polynomial time interior point methods for linear, conic quadratic, and semidefinite programming. The book's focus on well-structured convex problems in conic form allows for unified theoretical and algorithmical treatment of a wide spectrum of important optimization problems arising in applications.

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Lectures on Modern Convex Optimization

Lectures on Modern Convex Optimization

File Size : 21,21 MB
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Here is a book devoted to well-structured and thus efficiently solvable convex optimization problems, with emphasis on conic quadratic and semidefinite programm