Convergence of Gradient-Based Block Coordinate Descent Algorithms for Nonorthogonal Joint Approximate Diagonalization of Matrices
Author:
Affiliation:
1. Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong, Shenzhen 518172, China.
2. Université de Lorraine, CNRS, CRAN, Nancy 54000, France.
3. Univ. Grenoble Alpes, CNRS, Grenoble INP, GIPSA-Lab, 38000 Grenoble, France.
Funder
National Natural Science Foundation of China
Guangdong Basic and Applied Basic Research Foundation
Agence Nationale de Recherche
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Subject
Analysis
Reference40 articles.
1. Steepest Descent Algorithms for Optimization Under Unitary Matrix Constraint
2. Convergence of the Iterates of Descent Methods for Analytic Cost Functions
3. What Can Make Joint Diagonalization Difficult?
4. A new class of block coordinate algorithms for the joint eigenvalue decomposition of complex matrices
Cited by 2 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. Projectively and Weakly Simultaneously Diagonalizable Matrices and their Applications;SIAM Journal on Matrix Analysis and Applications;2024-01-16
2. Uniqueness Result and Algebraic Algorithm for Decomposition into Multilinear Rank- $(M_{r},N_{r},\cdot)$ Terms and Joint Block Diagonalization;2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP);2023-12-10
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