Numerical strategies for recursive least squares solutions to the matrix equation AX = B
From MaRDI portal
Publication:6103282
DOI10.1080/00207160.2022.2123220zbMath1524.62381OpenAlexW4297491442MaRDI QIDQ6103282
Publication date: 26 June 2023
Published in: International Journal of Computer Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207160.2022.2123220
Factorization of matrices (15A23) Computing methodologies for image processing (68U10) Matrix equations and identities (15A24) Sequential estimation (62L12) Orthogonal matrices (15B10)
Cites Work
- Estimating large-scale general linear and seemingly unrelated regressions models after deleting observations
- The skew-symmetric orthogonal solutions of the matrix equation \(AX=B\)
- Least-squares solution with the minimum-norm for the matrix equation \((A\times B,G\times H) = (C,D)\)
- Solving balanced Procrustes problem with some constraints by eigenvalue decomposition
- The reflexive and anti-reflexive solutions of the matrix equation \(A^{H}XB=C\)
- On the symmetric solutions of linear matrix equations
- Ranks of least squares solutions of the matrix equation \(AXB=C\)
- On consistency, natural restrictions and estimability under classical and extended growth curve models
- Singular value and generalized singular value decompositions and the solution of linear matrix equations
- The symmetric Procrustes problem
- Generalized QR factorization and its applications
- Generalized Procrustes analysis
- Vector structures and solutions of linear matrix equations
- Unphysical properties of the rotation tensor estimated by least squares optimization with specific application to biomechanics
- A Procrustes problem on the Stiefel manifold
- Fast low-rank modifications of the thin singular value decomposition
- A recursive three-stage least squares method for large-scale systems of simultaneous equations
- A generalized solution of the orthogonal Procrustes problem
- The orthogonal approximation of an oblique structure in factor analysis
- Bounds for the Distance to the Nearest Correlation Matrix
- Recursive Estimation and Time-Series Analysis
- Computational Methods for Linear Matrix Equations
- Decomposition Methods for Sparse Matrix Nearness Problems
- On a sub‐Stiefel Procrustes problem arising in computer vision
- Case-Deletion Diagnostics for Mixed Models
- Influential Observations in Linear Regression
- Practical Sketching Algorithms for Low-Rank Matrix Approximation
- Face Recognition With Pose Variations and Misalignment via Orthogonal Procrustes Regression
- Downdating the Singular Value Decomposition
- Hermitian and non-negative definite reflexive and anti-reflexive solutions to AX=B
- Algorithm 432 [C2: Solution of the matrix equation AX + XB = C [F4]]
- On Nonnegative Solutions of the Equation $AD + DA' = - C$
- Updating the singular value decomposition
This page was built for publication: Numerical strategies for recursive least squares solutions to the matrix equation AX = B