Numerical-Optimization-2ed

所属分类:人工智能/神经网络/深度学习
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文件大小:3904KB
下载次数:18
上传日期:2013-05-14 16:09:20
上 传 者ewitt
说明:  各种优化方法的介绍,应该是现在最权威的著作之一。
(Preface.-Preface to the Second Edition.-Introduction.-Fundamentals of Unconstrained Optimization.-Line Search Methods.-Trust-Region Methods.-Conjugate Gradient Methods.-Quasi-Newton Methods.-Large-Scale Unconstrained Optimization.-Calculating Derivatives.-Derivative-Free Optimization.-Least-Squares Problems.-Nonlinear Equations.-Theory of Constrained Optimization.-Linear Programming: The Simplex Method.-Linear Programming: Interior-Point Methods.-Fundamentals of Algorithms for Nonlinear Constrained Optimization.-Quadratic Programming.-Penalty and Augmented Lagrangian Methods.-Sequential Quadratic Programming.-Interior-Point Methods for Nonlinear Programming.-Background Material.- Regularization Procedure.)

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Numerical Optimization 2ed.pdf (4381046, 2012-06-12)

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