On convergence of iterative methods for maximal correlation problems

DOI10.1002/nla.2042zbMath1413.65067OpenAlexW2296015387MaRDI QIDQ2955970

Wei-Guo Wang, Xin-Guo Liu

Publication date: 13 January 2017

Published in: Numerical Linear Algebra with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/nla.2042

zbMATH Keywords

Gauss-Seidel methodalternating variable methodmaximal correlation problemHorst methodstarting pointP-SOR method

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10) Iterative numerical methods for linear systems (65F10)

Uses Software

• Matlab

Cites Work

• Unnamed Item
• Unnamed Item
• An alternating variable method for the maximal correlation problem
• Towards the global solution of the maximal correlation problem
• Relations among \(m\) sets of measures
• Generalized approaches to the Maxbet problem and the Maxdiff problem, with applications to canonical correlations
• A learning algorithm for adaptive canonical correlation analysis of several data sets
• Comparative study on classifying human activities with miniature inertial and magnetic sensors
• Analysis of \(k\) sets of data, with differential emphasis on agreement between and within sets
• Approximation algorithms for quadratic programming
• A multigrid method for the maximal correlation problem
• Global optimality of the successive Maxbet algorithm
• Computing absolute maximum correlation
• On a Multivariate Eigenvalue Problem, Part I: Algebraic Theory and a Power Method
• Trust Region Methods
• Joint Blind Source Separation by Multiset Canonical Correlation Analysis
• Canonical analysis of several sets of variables

This page was built for publication: On convergence of iterative methods for maximal correlation problems