Provides an introduction to the applications, theory, and algorithms of linear and nonlinear optimization. The emphasis is on practical aspects - discussing modern algorithms, as well as the influence of theory on the interpretation of solutions or on the design of software. The book includes several examples of realistic optimization models that address important applications. The succinct style of this second edition is punctuated with numerous real-life examples and exercises, and the authors include accessible explanations of topics that are not often mentioned in textbooks, such as duality in nonlinear optimization, primal-dual methods for nonlinear optimization, filter methods, and applications such as support-vector machines. The book is designed to be flexible. It has a modular structure, and uses consistent notation and terminology throughout. It can be used in many different ways, in many different courses, and at many different levels of sophistication
具体描述
读后感
评分
评分
评分
评分
用户评价
各种迭代算法，拉格朗日乘数法……比较实用
评分各种迭代算法，拉格朗日乘数法……比较实用
评分User-friendly enough to separate the thinker-doers from the summer-camp kids building their first liquid nitrogen rockets.
评分User-friendly enough to separate the thinker-doers from the summer-camp kids building their first liquid nitrogen rockets.
评分User-friendly enough to separate the thinker-doers from the summer-camp kids building their first liquid nitrogen rockets.
相关图书
本站所有内容均为互联网搜索引擎提供的公开搜索信息，本站不存储任何数据与内容，任何内容与数据均与本站无关，如有需要请联系相关搜索引擎包括但不限于百度，google,bing,sogou 等
© 2025 book.wenda123.org All Rights Reserved. 图书目录大全 版权所有