Pages that link to "Item:Q1907877"
From MaRDI portal
The following pages link to Solution of sparse rectangular systems using LSQR and Craig (Q1907877):
Displaying 25 items.
- CVXGEN: a code generator for embedded convex optimization (Q399985) (← links)
- Computing projections with LSQR (Q678216) (← links)
- Simple stopping criteria for the LSQR method applied to discrete ill-posed problems (Q780395) (← links)
- Minimum residual methods for augmented systems (Q1272879) (← links)
- Modifying the inertia of matrices arising in optimization (Q1307208) (← links)
- A fast implementation for GMRES method (Q1414304) (← links)
- A primal-dual regularized interior-point method for convex quadratic programs (Q1762462) (← links)
- Analysis of approximate inverses in tomography. II: Iterative inverses (Q1863847) (← links)
- Large sparse symmetric eigenvalue problems with homogeneous linear constraints: The Lanczos process with inner-outer iterations (Q1976920) (← links)
- Solving large linear least squares problems with linear equality constraints (Q2098770) (← links)
- Implicit iterative schemes based on augmented linear systems (Q2155339) (← links)
- Noise representation in residuals of LSQR, LSMR, and CRAIG regularization (Q2404979) (← links)
- Regularization and preconditioning of KKT systems arising in nonnegative least-squares problems (Q3011664) (← links)
- Euclidean-Norm Error Bounds for SYMMLQ and CG (Q3119539) (← links)
- LSLQ: An Iterative Method for Linear Least-Squares with an Error Minimization Property (Q3119540) (← links)
- Preconditioning Linear Least-Squares Problems by Identifying a Basis Matrix (Q3449796) (← links)
- Solution of sparse quasi-square rectangular systems by Gaussian elimination (Q4398499) (← links)
- A Computational Study of Using Black-box QR Solvers for Large-scale Sparse-dense Linear Least Squares Problems (Q5066598) (← links)
- A Class of Approximate Inverse Preconditioners Based on Krylov-Subspace Methods for Large-Scale Nonconvex Optimization (Q5116544) (← links)
- Sharp 2-Norm Error Bounds for LSQR and the Conjugate Gradient Method (Q5146695) (← links)
- LNLQ: An Iterative Method for Least-Norm Problems with an Error Minimization Property (Q5237901) (← links)
- On Using Cholesky-Based Factorizations and Regularization for Solving Rank-Deficient Sparse Linear Least-Squares Problems (Q5350438) (← links)
- Deflation for the Off-Diagonal Block in Symmetric Saddle Point Systems (Q6180359) (← links)
- Analyzing vector orthogonalization algorithms (Q6540314) (← links)
- Estimating error norms in CG-like algorithms for least-squares and least-norm problems (Q6590591) (← links)
