The following pages link to LSQR (Q13285):
Displaying 50 items.
- Conjugate gradient type methods and preconditioning (Q1112555) (← links)
- Preconditioning techniques for nonsymmetric and indefinite linear systems (Q1114329) (← links)
- Quadratically constrained least squares and quadratic problems (Q1180757) (← links)
- Computational results of an interior point algorithm for large scale linear programming (Q1181915) (← links)
- A polynomial based iterative method for linear parabolic equations (Q1262730) (← links)
- Minimum residual methods for augmented systems (Q1272879) (← links)
- Iterative techniques for rough surface scattering problems (Q1297118) (← links)
- Regularization tools: A Matlab package for analysis and solution of discrete ill-posed problems (Q1316068) (← links)
- Using program package NSPCG to analyze the trunk reservation service protection method (Q1317088) (← links)
- Preconditioned iterative methods for sparse linear algebra problems arising in circuit simulation (Q1323606) (← links)
- Inexact trust region method for large sparse systems of nonlinear equations (Q1331125) (← links)
- On the solution of a two ball trust region subproblem (Q1332308) (← links)
- An implicit shift bidiagonalization algorithm for ill-posed systems (Q1347073) (← links)
- On application of fast and adaptive periodic Battle-Lemarie wavelets for modeling of multiple lossy transmission lines (Q1357346) (← links)
- Projection methods for systems of equations (Q1377990) (← links)
- An a posteriori error estimate for finite element approximations of a singularly perturbed advection-diffusion problem (Q1379694) (← links)
- Iterative computation of the smallest singular value and the corresponding singular vectors of a matrix. (Q1406278) (← links)
- Rapid, efficient analysis of the \(\lambda(n)/C_{k}/r/N\) queue, with application to decomposition of closed queuing networks. (Q1406657) (← links)
- Accuracy of preconditioned CG-type methods for least squares problems. (Q1416375) (← links)
- Subspace preconditioned LSQR for discrete ill-posed problems (Q1431648) (← links)
- Iterative solution of linear systems in the 20th century (Q1591173) (← links)
- Tikhonov regularization and the L-curve for large discrete ill-posed problems (Q1591196) (← links)
- A Schur complement approach to preconditioning sparse linear least-squares problems with some dense rows (Q1625762) (← links)
- An ALE particle method using upwind interpolation (Q1648157) (← links)
- Fast computation of reconciled forecasts for hierarchical and grouped time series (Q1659352) (← links)
- Macroscopically consistent non-local modeling of heterogeneous media (Q1667322) (← links)
- An improved multi-parametric programming algorithm for flux balance analysis of metabolic networks (Q1670104) (← links)
- The block Lanczos algorithm for linear ill-posed problems (Q1675423) (← links)
- A stopping criterion for the iterative solution of partial differential equations (Q1683836) (← links)
- Conjugate gradient based acceleration for inverse problems (Q1686866) (← links)
- An interior-point implementation developed and tuned for radiation therapy treatment planning (Q1687310) (← links)
- Partial condition number for the equality constrained linear least squares problem (Q1697269) (← links)
- State estimation with structural priors in fMRI (Q1703167) (← links)
- Some results on the regularization of LSQR for large-scale discrete ill-posed problems (Q1708059) (← links)
- Fast boundary-domain integral method for heat transfer simulations (Q1710918) (← links)
- Weighted Golub-Kahan-Lanczos bidiagonalization algorithms (Q1744310) (← links)
- On the generalized reflexive and anti-reflexive solutions to a system of matrix equations (Q1758478) (← links)
- Solution methods for linear discrete ill-posed problems for color image restoration (Q1783374) (← links)
- An isogeometric collocation method using superconvergent points (Q1798020) (← links)
- Inversion methods in helioseismology and solar tomography (Q1807708) (← links)
- An algorithm for solving sparse nonlinear least squares problems (Q1822462) (← links)
- Computing smallest singular triplets with implicitly restarted Lanczos bidiagonalization (Q1826601) (← links)
- Large scale least squares scattered data fitting (Q1861983) (← links)
- A multilevel block incomplete Cholesky preconditioner for solving normal equations in linear least squares problems (Q1871426) (← links)
- Highly accurate verified error bounds for Krylov type linear system solvers (Q1873165) (← links)
- Combinatorial characterization of the null spaces of symmetric H-matrices (Q1887495) (← links)
- A regularized structured total least squares algorithm for high-resolution image reconstruction (Q1888338) (← links)
- Nonnegative surface fitting with Powell-Sabin splines (Q1895872) (← links)
- New insights in GMRES-like methods with variable preconditioners (Q1903660) (← links)
- Solution of sparse rectangular systems using LSQR and Craig (Q1907877) (← links)
