返回
摘要
En 中文
While Nesterov's algorithm for computing the minimum of a convex function is now over forty years old, it is rarely presented in texts for a first course in optimization. This is unfortunate since for many problems this algorithm is superior to the ubiquitous steepest descent algorithm, and it is equally simple to implement. This article presents an elementary analysis of Nesterov's algorithm that parallels that of steepest descent. It is envisioned that this presentation of Nesterov's algorithm could easily be covered in a few lectures following the introductory material on convex functions and steepest descent included in every course on optimization.
Keyword:
convex optimization
Nesterov's algorithm
steepest descent
期刊
IF:
6.1
论文数:
888
被引数:
1.2W
机构
引用论文
Stopping Rules in Principal Components Analysis: A Comparison of Heuristical and Statistical Approaches
Ecology
IF0

