Condition numbers for a linear function of the solution of the linear least squares problem with equality constraints
DOI10.1016/j.cam.2018.05.050zbMath1397.65063arXiv1612.03645OpenAlexW2808796299MaRDI QIDQ724555
Publication date: 26 July 2018
Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1612.03645
condition numberlinear least squarescomponentwise perturbationHager-Higham algorithmlinear least squares problem with equality constraints
Theory of matrix inversion and generalized inverses (15A09) Numerical computation of matrix norms, conditioning, scaling (65F35) Conditioning of matrices (15A12)
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- Using dual techniques to derive componentwise and mixed condition numbers for a linear function of a linear least squares solution
- New condition numbers for matrices and linear systems
- Generalized QR factorization and its applications
- Accuracy and stability of the null space method for solving the equality constrained least squares problem
- Mixed and componentwise condition numbers for a linear function of the solution of the total least squares problem
- Partial condition number for the equality constrained linear least squares problem
- On the condition number of linear least squares problems in a weighted Frobenius norm
- On condition numbers for least squares with quadric inequality constraint
- Condition
- A Contribution to the Conditioning of the Total Least-Squares Problem
- Mixed, Componentwise, and Structured Condition Numbers
- Condition Estimates
- On mixed and componentwise condition numbers for Moore–Penrose inverse and linear least squares problems
- Iterative Methods for Equality-Constrained Least Squares Problems
- FORTRAN codes for estimating the one-norm of a real or complex matrix, with applications to condition estimation
- Scaling for Numerical Stability in Gaussian Elimination
- Perturbation Theory for the Least Squares Problem with Linear Equality Constraints
- Perturbation Theory for the Rank-Deficient Equality Constrained Least Squares Problem
- A Unified Theoryof Conditioning for Linear Least Squares and Tikhonov Regularization Solutions
- A condition analysis of the weighted linear least squares problem using dual norms
- Experience with a Matrix Norm Estimator
- A Partial Condition Number for Linear Least Squares Problems
- A Theory of Condition
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