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关键词:
An Optimization Primer
- On Models, Algorithms, and Duality
书目信息
ISBN:
9780387211558(13位)
中图分类号:
O1
杜威分类号:
中文译名:
优化初阶论:模型、算法与对偶性
作者:
Nazareth
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:
卷期:
文献信息
关键词:
Mathematics
前言:
摘要:
内容简介:
Optimization is the task of finding the best member of a finite or infinite set of possible choices, based on some objective measure of the merit of each choice in the set. The three key facets of the subject are the art of constructing optimization models, the science of discovering and implementing efficient algorithms for solving optimization models, and the mathematics of optimization models and algorithms. This book provides a very gentle introduction to modeling, algorithms and duality and should appeal to several audiences at once: students (as a supplement to a regular textbook), general readers such as people in business (as an introduction to how optimization affects their everyday lives), and instructors (as a source of ideas for how to teach optimization differently).
目次:
Comments on Style and Print Size.- Simple Motivating Examples.- A Quintessential Optimization Problem.- Duality on Bipartite Networks.- A Network Flows Overview.- Duality in Linear Programming.- Golden Age of Optimization.- An Algorithmic Revolution.- Nonlinear Programming.- DLP and Extensions.- Optimization: The Big Picture.- Bibliography.- Index.- About the Author.
附录:
全文链接:
读者对象:
undergrad.
实体信息
页码:
装帧:
soft
尺寸:
其它形态细节:
其它信息
原价:
EUR
29.9500
原版ISBN:
其它ISBN:
图书特色:
书评:
扩展信息
Isbn:
0387211551
issue:
2006JC01
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