A Schur complement approach to preconditioning sparse linear least-squares problems with some dense rows
Author:
Funder
Engineering and Physical Sciences Research Council
Grantová Agentura České Republiky
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics
Link
http://link.springer.com/article/10.1007/s11075-018-0478-2/fulltext.html
Reference53 articles.
1. Andersen, E.D., Gondzio, J, Mészáros, C., Xu, X.: Implementation of Interior Point Methods for Large Scale Linear Programming. HEC/Université de Genève (1996)
2. Andersen, K.D: A modified Schur complement method for handling dense columns in interior point methods for linear programming (1996)
3. Anderson, O.D.: An improved approach to inverting the autocovariance matrix of a general mixed autoregressive moving average time process. Australian J. Statist. 18(1–2), 73–75 (1976)
4. Anderson, O.D.: On the inverse of the autocovariance matrix for a general moving average process. Biometrika 63(2), 391–394 (1976)
5. Avron, H., Ng, E., Toledo, S.: Using perturbed Q R factorizations to solve linear least-squares problems. SIAM J. Matrix Anal. Appl. 31(2), 674–693 (2009)
Cited by 9 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. Approximating sparse Hessian matrices using large-scale linear least squares;Numerical Algorithms;2023-11-02
2. Solving Linear Systems of the Form \({\boldsymbol{(A + \gamma UU^T)\, {x} = {b}}}\) by Preconditioned Iterative Methods;SIAM Journal on Scientific Computing;2023-07-13
3. Enhancing Block Cimmino for Sparse Linear Systems with Dense Columns via Schur Complement;SIAM Journal on Scientific Computing;2023-04-07
4. General-purpose preconditioning for regularized interior point methods;Computational Optimization and Applications;2022-11-14
5. Solving large linear least squares problems with linear equality constraints;BIT Numerical Mathematics;2022-07-05
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