Condition numbers for a linear function of the solution to the constrained and weighted least squares problem and their statistical estimation
DOI10.11650/tjm/201202OpenAlexW3112643892MaRDI QIDQ2238939
Publication date: 2 November 2021
Published in: Taiwanese Journal of Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.11650/tjm/201202
normwise condition numberprobabilistic spectral norm estimatorcomponentwise condition numbersmall-sample statistical condition estimationmixed condition numberconstrained and weighted least squares problemdual technique
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Condition numbers for the nonlinear matrix equation and their statistical estimation
- Condition numbers for a linear function of the solution of the linear least squares problem with equality constraints
- Structured condition numbers of structured Tikhonov regularization problem and their estimations
- Using dual techniques to derive componentwise and mixed condition numbers for a linear function of a linear least squares solution
- Iterative refinement for constrained and weighted linear least squares
- Perturbation bounds for constrained and weighted least squares problems
- Mixed and componentwise condition numbers for a linear function of the solution of the total least squares problem
- On the partial condition numbers for the indefinite least squares problem
- Partial condition number for the equality constrained linear least squares problem
- On the modified Gram-Schmidt algorithm for weighted and constrained linear least squares problems
- A preconditioner for constrained and weighted least squares problems with Toeplitz structure
- Structured condition numbers and statistical condition estimation for the \(LDU\) factorization
- Small sample statistical condition estimation for the total least squares problem
- Probabilistic upper bounds for the matrix two-norm
- Condition
- A Contribution to the Conditioning of the Total Least-Squares Problem
- Algorithms for Constrained and Weighted Nonlinear Least Squares
- Mixed, Componentwise, and Structured Condition Numbers
- Perturbation analysis for the periodic generalized coupled Sylvester equation
- On mixed and componentwise condition numbers for Moore–Penrose inverse and linear least squares problems
- Modifying the QR-Decomposition to Constrained and Weighted Linear Least Squares
- Small-Sample Statistical Condition Estimates for General Matrix Functions
- Complete Orthogonal Decomposition for Weighted Least Squares
- A condition analysis of the weighted linear least squares problem using dual norms
- A Framework for Equilibrium Equations
- Accuracy and Stability of Numerical Algorithms
- Perturbation theory for generalized and constrained linear least squares
- Backward Error Analysis for the Constrained and Weighted Linear Least Squares Problem When Using the Weighted $QR$ Factorization
- Mixed, componentwise condition numbers and small sample statistical condition estimation of Sylvester equations
- Backward error and condition number analysis for the indefinite linear least squares problem
- A Partial Condition Number for Linear Least Squares Problems
- A Theory of Condition
This page was built for publication: Condition numbers for a linear function of the solution to the constrained and weighted least squares problem and their statistical estimation
