An adaptive approach of conic trust-region method for unconstrained optimization problems
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computational Mathematics
Link
http://link.springer.com/content/pdf/10.1007/BF02935796.pdf
Reference26 articles.
1. A. R. Conn, N. I. M. Could and Ph. L. Toint,Trust Region Methods, (SIAM, Philadelphia, USA, 2000).
2. W. C. Davidon,Conic approximation and collinear scaling for optimizers, SIAM J. Numer. Anal.17 (1980), 268–281.
3. N. Y. Deng, Y. Xiao and F. J. Zhou,Nonmonotonic trust region algorithm, Journal of Optimization Theory and Applications76 (1993), 259–285.
4. S. Di and W. Sun,Trust region method for conic model to solve unconstrained optimization problems, Optimization Methods and Software6 (1996), 237–263.
5. Q. Han, W. Sun, J. Han and R. J. B. Sampaio,An adaptive conic trust-region method for unconstrained optimization, to appear in: Optimization Methods and Software (2004).
Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. An Adaptive Trust Region Method Based on Simple Conic Models;Journal of Mathematical Modelling and Algorithms in Operations Research;2015-03-26
2. A Nonmonotone Weighting Self-Adaptive Trust Region Algorithm for Unconstrained Nonconvex Optimization;Discrete Dynamics in Nature and Society;2015
3. Nonmonotone adaptive trust region method based on simple conic model for unconstrained optimization;Frontiers of Mathematics in China;2014-04-21
4. A Novel Self-Adaptive Trust Region Algorithm for Unconstrained Optimization;Journal of Applied Mathematics;2014
5. A nonmonotone trust region method based on simple conic models for unconstrained optimization;Applied Mathematics and Computation;2013-12
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3