Handbook on Semidefinite, Conic and Polyno... pdf epub mobi txt 电子书 下载 2024

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Handbook on Semidefinite, Conic and Polyno...

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出版社: Springer
ISBN:9781461407683
商品编码:1142946946
包装:精装
外文名称:Handbook on Semidefini...
出版时间:2011-11-18
页数:960
正文语种:英语

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Handbook on Semidefinite, Conic and Polynomial Optimization
作者: Miguel F. Anjos;Jean B. Lasserre;
ISBN13: 9781461407683
类型: 精装(精装书)
语种: 英语(English)
出版日期: 2011-11-18
出版社: Springer
页数: 960
重量(克): 1524
尺寸: 23.3934 x 15.5956 x 5.08 cm

商品简介

Semidefinite and conic optimization is a major and thriving research area within the optimization community. Although semidefinite optimization has been studied (under different names) since at least the 1940s, its importance grew immensely during the 1990s after polynomial-time interior-point methods for linear optimization were extended to solve semidefinite optimization problems.

Since the beginning of the 21st century, not only has research into semidefinite and conic optimization continued unabated, but also a fruitful interaction has developed with algebraic geometry through the close connections between semidefinite matrices and polynomial optimization. This has brought about important new results and led to an even higher level of research activity.

This "Handbook on Semidefinite, Conic and Polynomial Optimization "provides the reader with a snapshot of the state-of-the-art in the growing and mutually enriching areas of semidefinite optimization, conic optimization, and polynomial optimization. It contains a compendium of the recent research activity that has taken place in these thrilling areas, and will appeal to doctoral" "students, young graduates, and experienced researchers alike.

The Handbook's thirty-one chapters are organized into four parts: "Theory," covering significant theoretical developments as well as the interactions between conic optimization and polynomial optimization;"Algorithms," documenting the directions of current algorithmic development;"Software," providing an overview of the state-of-the-art;"Applications," dealing with the application areas where semidefinite and conic optimization has made a significant impact in recent years.


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