The following pages link to (Q4868585):
Displaying 50 items.
- A class of unified transform techniques for solving linear elliptic PDEs in convex polygons (Q1748062) (← links)
- Efficient computation of the Gauss-Newton direction when fitting NURBS using ODR (Q1759585) (← links)
- A new class of preconditioners for large-scale linear systems from interior point methods for linear programming (Q1765884) (← links)
- Experimental evaluation of solution approaches for the \(K\)-route maximum flow problem (Q1772874) (← links)
- Multilevel regularization of wavelet based fitting of scattered data -- some experiments (Q1776170) (← links)
- An iterative algorithm for solving the generalized Sylvester-conjugate matrix equation (Q1786973) (← links)
- The numerical rank of Krylov matrices (Q1789397) (← links)
- An efficient method to set up a Lanczos based preconditioner for discrete ill-posed problems (Q1791438) (← links)
- On the normal matrix of the polynomial LS problem over the Chebyshev points (Q1826715) (← links)
- Solving parameter estimation problem in new product diffusion models. (Q1855174) (← links)
- One-sided reduction to bidiagonal form (Q1855440) (← 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)
- Strong rank revealing LU factorizations (Q1873693) (← links)
- Nonparametric variogram and covariogram estimation with Fourier-Bessel matrices (Q1874120) (← links)
- On robust solutions to linear least squares problems affected by data uncertainty and implementation errors with application to stochastic signal modeling (Q1888347) (← links)
- On the condition number of linear least squares problems in a weighted Frobenius norm (Q1923873) (← links)
- A short proof of a matrix decomposition with applications (Q1931750) (← links)
- Maximum likelihood estimation of Gaussian models with missing data -- Eight equivalent formulations (Q1937468) (← links)
- Preconditioning and globalizing conjugate gradients in dual space for quadratically penalized nonlinear-least squares problems (Q1938916) (← links)
- Reorthogonalized block classical Gram-Schmidt (Q1939650) (← links)
- Effective condition number for weighted linear least squares problems and applications to the Trefftz method (Q1944617) (← links)
- Local stability in the problem of identifying coefficients of a linear difference equation (Q1948662) (← links)
- Structured penalties for functional linear models -- partially empirical eigenvectors for regression (Q1950819) (← links)
- Old and new parameter choice rules for discrete ill-posed problems (Q1952308) (← links)
- On the Meany inequality with applications to convergence analysis of several row-action iteration methods (Q1955636) (← links)
- Least squares for practitioners (Q1958841) (← links)
- Generalized solution of linear systems and image restoration (Q1969459) (← links)
- Sobolev preconditioning for the Poisson-Boltzmann equation (Q1970141) (← links)
- The influence of orthogonality on the Arnoldi method (Q1976921) (← links)
- A modified Gram-Schmidt algorithm with iterative orthogonalization and column pivoting (Q1978115) (← links)
- Re-engineering statistical software for efficient parallel execution. (Q1978415) (← links)
- The impact of intervention strategies and prevention measurements for controlling COVID-19 outbreak in Saudi Arabia (Q1979657) (← links)
- Structured backward error analysis for generalized saddle point problems (Q1986541) (← links)
- The regularizing properties of global GMRES for solving large-scale linear discrete ill-posed problems with several right-hand sides (Q1995936) (← links)
- Memory-usage advantageous block recursive matrix inverse (Q2001618) (← links)
- Regularized LTI system identification in the presence of outliers: a variational EM approach (Q2003792) (← links)
- Analysis of the self projected matching pursuit algorithm (Q2005321) (← links)
- Continuous regularized least squares polynomial approximation on the sphere (Q2007163) (← links)
- Modified inexact Levenberg-Marquardt methods for solving nonlinear least squares problems (Q2007835) (← links)
- Unbiased predictive risk estimation of the Tikhonov regularization parameter: convergence with increasing rank approximations of the singular value decomposition (Q2009116) (← links)
- Fault and gradient fault detection and reconstruction from scattered data (Q2010357) (← links)
- A dual gradient-projection method for large-scale strictly convex quadratic problems (Q2012229) (← links)
- On condition numbers for least squares with quadric inequality constraint (Q2013454) (← links)
- Rescaling the GSVD with application to ill-posed problems (Q2017617) (← links)
- Block SOR methods for the solution of indefinite least squares problems (Q2017963) (← links)
- Improvements to the cluster Newton method for underdetermined inverse problems (Q2018494) (← links)
- A staggered high-dimensional proper generalised decomposition for coupled magneto-mechanical problems with application to MRI scanners (Q2020286) (← links)
- A new randomized Gauss-Seidel method for solving linear least-squares problems (Q2021500) (← links)
- Optimal correction of the absolute value equations (Q2022323) (← links)
