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关键词:
Optimization
书目信息
ISBN:
9780387203324(13位)
中图分类号:
O1
杜威分类号:
中文译名:
优化
作者:
Lange
编者:
语种:
English
出版信息
出版社:
Springer
出版地:
出版年:
2004
版本:
版本类型:
原版
丛书题名:
Springer Texts in Statistics
卷期:
文献信息
关键词:
Statistics
前言:
摘要:
内容简介:
Finite-dimensional optimization problems occur throughout the mathematical sciences. The majority of these problems cannot be solved analytically. This introduction to optimization attempts to strike a balance between presentation of mathematical theory and development of numerical algorithms. Building on students' skills in calculus and linear algebra, the text provides a rigorous exposition without undue abstraction and can serve as a bridge to more advanced treatises on nonlinear and convex programming. The emphasis on statistical applications will be especially appealing to graduate students of statistics and biostatistics. The intended audience also includes graduate students in applied mathematics, computational biology, computer science, economics, and physics as well as upper division undergraduate majors in mathematics who want to see rigorous mathematics combined with real applications.
目次:
Elementary Optimization.- The Seven C's of Analysis.- Differentiation.- Karush-Kuhn-Tucker Theory.- Convexity.- The MM Algorithm.- The EM Algorithm.- Newton's Method.- Conjugate Gradient and Quasi-Newton.- Analysis of Convergence.- Convex Programming.
附录:
全文链接:
读者对象:
grad.
实体信息
页码:
装帧:
hard
尺寸:
其它形态细节:
其它信息
原价:
EUR
79.9500
原版ISBN:
其它ISBN:
图书特色:
书评:
扩展信息
Isbn:
038720332X
issue:
2006JC01
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