Lectures on Convex Optimization

Lectures on Convex Optimization (Springer Optimization and Its Applications, 137) 2nd ed. 2018 Edition
Author: Yurii Nesterov (Author)
Publisher Finelybook 出版社:Springer; 2nd ed. 2018 edition (December 1, 2018)
Language 语言:English
pages 页数:612 pages
ISBN-10 书号:3319915770
ISBN-13 书号:9783319915777

Book Description
This book provides a comprehensive, modern introduction to convex optimization, a field that is becoming increasingly important in applied mathematics, economics and finance, engineering, and computer science, notably in data science and machine learning.
Written Author: a leading expert in the field, this book includes recent advances in the algorithmic theory of convex optimization, naturally complementing the existing literature. It contains a unified and rigorous presentation of the acceleration techniques for minimization schemes of first- and second-order. It provides readers with a full treatment of the smoothing technique, which has tremendously extended the abilities of gradient-type methods. Several powerful approaches in structural optimization, including optimization in relative scale and polynomial-time interior-point methods, are also discussed in detail.

Researchers in theoretical optimization as well as professionals working on optimization problems will find this book very useful. It presents many successful examples of how to develop very fast specialized minimization algorithms. Based on the author’s lectures, it can naturally serve as the basis for introductory and advanced courses in convex optimization for students in engineering, economics, computer science and mathematics.

下载地址隐藏内容1积分,请先!没有帐号? 注 册 一个!
未经允许不得转载:finelybook » Lectures on Convex Optimization

评论 抢沙发

  • 昵称 (必填)
  • 邮箱 (必填)
  • 网址