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 by a leading expert in the field, this book includes recent advances in the algorithmic theory of convex optimization...(展开全部)

Yurii Nesterov Center of Operations Research and Econometrics, (CORE), Université Catholique de Louvain (UCL), Louvain-la-Neuve, Belgium

It was in the middle of the 1980s, when the seminal paper by Karmarkar opened a new epoch in nonlinear optimization. The importance of this paper, containing a new polynomial-time algorithm for linear op timization problems, was not only in its complexity bound. At that time, the most surprising feature of this algorithm was that the theoretical pre diction of its high efficien...(展开全部)

Convex optimization problems arise frequently in many different fields. This book provides a comprehensive introduction to the subject, and shows in detail how such problems can be solved numerically with great efficiency. The book begins with the basic elements of convex sets and functions, and then describes various classes of convex optimization problems. Duality and approxi...(展开全部)

Convex optimization problems arise frequently in many different fields. A comprehensive introduction to the subject, this book shows in detail how such problems can be solved numerically with great efficiency. The focus is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. The text contains many worked examples and home...(展开全部)

Optimization is an important tool used in decision science and for the analysis of physical systems used in engineering. One can trace its roots to the Calculus of Variations and the work of Euler and Lagrange. This natural and reasonable approach to mathematical programming covers numerical methods for finite-dimensional optimization problems. It begins with very simple ideas ...(展开全部)

Dimitri P. Bertsekas 教授是优化理论的国际著名学者、美国国家工程院院士，现任美国麻省理工学院电气工程与计算机科学系教授，曾在斯坦福大学工程经济系和伊利诺伊大学电气工程系任教，在优化理论、控制工程、通信工程、计算机科学等领域有丰富的科研教学经验，成果丰硕。博赛克斯教授是一位多产作者，著有14本专著和教科书。

《凸优化(英文)》由世界图书出版社出版。

作者介绍 娜塔莉·恩赖特·杰格（Natalie Enright Jerger ） 多伦多大学电子计算机工程系教授，现任加拿大计算架构领域首席科学家（Research Chair），多伦多大学“珀西-爱德华-哈特”特等教授，ACM杰出会员，IEEE高级会员。研究领域包括片上网络、多核/众核计算架构、存储架构等。 图沙·克里希纳（Tushar Krishna ） 佐治亚理工大学电子计算机工程系助理教授，在计算机体系结构领域的顶级会议和期刊发表论文40余篇，他引4000余次，其中多篇论文被选为最佳论文。他所开发的Garnet 2.0 片上网络模拟器目前被全球百余个研究机构使用。研究领域包括计算架构、片上网络、人工智能加速器等。 白俐翾（Li-shiuan Peh） 新加坡国立大学计算机科学系首席教授，IEEE Fellow，ACM杰出科学家，2011年入选...(展开全部)

Some books about HCI or UX design focus on a web sites or a specific similar products. Some texts explore the aesthetic and emotional value provided by various elements of design. However, there are few texts that explore the semantic connections that live between technology, and form and people-or "interactions." Thoughts on Interaction Design offers readers new insights into...(展开全部)