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£¬´ó¼ÒÐÂÄêºÃ£¡ºÜÈÙÐÒÓÉÎÒÀ´¹²ÏíÐÂÄêµÚÒ»±¾Ê飺convex optimization¡£ÔÚÎÒÃÇÈÕ³£Êý¾Ý´¦ÀíÖУ¬Æäʵ¾ø´ó²¿·ÖµÄÎÊÌâ¶¼ÊÇ͹ÓÅ»¯ÎÊÌ⣬Òò´Ë£¬ÓÐÒ»±¾½éÉܱȽÏÏêϸµÄÊé¾ÍÏÔµÃÃÖ×ãÕä¹óÁË¡£

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    Author:Stephen Boyd & Lieven Vandenberghe
    Address: Department of Electrical Engineering Stanford University;
               Electrical Engineering Department University of California, Los Angeles.
     Publisher: cambridge university press
     Publish data: First published 2004
                       Reprinted with corrections 2004
                       Reprinted with corrections 2006

     Content:
     1 Introduction

     I Theory:
     2 Convex sets
     3 Convex functions
     4 Convex optimization problems
     5 Duality

      II Applications
      6 Approximation and fitting
      7 Statistical estimation
      8 Geometric problems

     III Algorithms
     9 Unconstrained minimization
     10 Equality constrained minimization
     11 Interior-point methods

     Appendices
     A. Mathematical background
     B. Problems involving two quadratic functions
     C. Numerical linear algebra background

     References
     Notation
     Index

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