Arc-Search Techniques for Interior-Point Methods

by Yaguang Yang

★★★★★
4.6 (627)

US$34.48

15% OFF CODE: SAVE15

Description

This book discusses an important area of numerical optimization, called interior-point method. This topic has been popular since the 1980s when people gradually realized that all simplex algorithms were not convergent in polynomial time and many interior-point algorithms could be proved to converge in polynomial time. However, for a long time, there was a noticeable gap between theoretical polynomial bounds of the interior-point algorithms and efficiency of these algorithms. Strategies that were