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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¡£±¾ÊéÐÅÏ¢ÈçÏ£º 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 ÏÂÔØµØÖ·£º http://media.imhb.cn/myspace/dow ... 055&huid=483979 username: xmc_dnp password: xmc_dnp123 ×îºó×£ËùÓеijæ×ÓÃÇÔÚ2008ÄêÀï¸üÉÏÒ»²ãÂ¥£¬ÍòÊÂÈçÒ⣻ԸСľ³æÔÚ2008ÄêÀïÔ½°ìÔ½ºÃ£¬ÌṩԽÀ´Ô½¶àµÄ¾µä×ÊÔ´£¡ [ Last edited by »ÃÓ°ÎÞºÛ on 2008-1-8 at 10:24 ] |
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