Pages that link to "Item:Q4366794"
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The following pages link to Rank-Deficient and Discrete Ill-Posed Problems (Q4366794):
Displaying 50 items.
- KKT conditions for rank-deficient nonlinear least-square problems with rank-deficient nonlinear constraints (Q1281968) (← links)
- Adaptive strategy for the damping parameters in an iteratively regularized Gauss-Newton method (Q1281969) (← links)
- Regularization methods for large-scale problems (Q1312221) (← links)
- Rank-deficient prewhitening with quotient SVD and ULV decompositions (Q1387236) (← links)
- CGLS-GCV: A hybrid algorithm for low-rank-deficient problems. (Q1412332) (← links)
- Pin-pointing solution of ill-conditioned square systems of linear equations (Q1586306) (← links)
- Quasi-Newton approach to nonnegative image restorations (Q1587287) (← links)
- Optimization algorithms for identification inverse problems with the boundary element method (Q1614500) (← links)
- A new approximate method for an inverse time-dependent heat source problem using fundamental solutions and RBFs (Q1654967) (← links)
- The block Lanczos algorithm for linear ill-posed problems (Q1675423) (← links)
- Recovering the initial distribution for a time-fractional diffusion equation (Q1675476) (← links)
- The use of a simple model in the inverse characterization of cardiac ischemic regions (Q1684684) (← links)
- GCV for Tikhonov regularization by partial SVD (Q1689313) (← links)
- Improved susceptibility artifact correction of echo-planar MRI using the alternating direction method of multipliers (Q1703174) (← links)
- An approach to differentiation of non-smooth functions obtained during residual stress measurements by layer-removal method (Q1707653) (← links)
- Some results on the regularization of LSQR for large-scale discrete ill-posed problems (Q1708059) (← links)
- Numerical solution of Volterra partial integro-differential equations based on sinc-collocation method (Q1710134) (← links)
- Truncated conjugate gradient and improved LBFGS and TSVD for history matching (Q1710318) (← links)
- Increasing the accuracy of solving discrete ill-posed problems by the random projection method (Q1711397) (← links)
- Optimization methods for regularization-based ill-posed problems: a survey and a multi-objective framework (Q1712546) (← links)
- A discretized Tikhonov regularization method for a fractional backward heat conduction problem (Q1725399) (← links)
- A B-spline parametric model for high resolution dynamic magnetic resonance imaging (Q1774847) (← links)
- Solution methods for linear discrete ill-posed problems for color image restoration (Q1783374) (← links)
- Image restoration with a high-order total variation minimization method (Q1789553) (← links)
- Regularization methods in dynamic MRI (Q1855840) (← links)
- Implementation of the regularized structured total least squares algorithms for blind image deblurring (Q1888346) (← links)
- On robust solutions to linear least squares problems affected by data uncertainty and implementation errors with application to stochastic signal modeling (Q1888347) (← links)
- NPtool: a MATLAB software for nonnegative image restoration with Newton projection methods (Q1944749) (← 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)
- Solution of identification inverse problems in elastodynamics using semi-analytical sensitivity computation (Q1958316) (← links)
- A spectral-element method for particulate Stokes flow (Q1964171) (← links)
- Vector extrapolation based Landweber method for discrete ill-posed problems (Q1992317) (← links)
- Applying Legendre wavelet method with Tikhonov regularization for one-dimensional time-fractional diffusion equations (Q1993470) (← links)
- An effective alternating direction method of multipliers for color image restoration (Q1995935) (← links)
- Numerical computation of H-bases (Q1999711) (← links)
- An \(\ell^2\)-\(\ell^q\) regularization method for large discrete ill-posed problems (Q1999875) (← 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)
- Iterative Tikhonov regularization for the Cauchy problem for the Helmholtz equation (Q2013716) (← links)
- An efficient variational method for image restoration (Q2015230) (← links)
- Two new efficient iterative regularization methods for image restoration problems (Q2016619) (← links)
- Rescaling the GSVD with application to ill-posed problems (Q2017617) (← links)
- An algorithm for the minimization of nonsmooth nonconvex functions using inexact evaluations and its worst-case complexity (Q2020598) (← links)
- On choices of formulations of computing the generalized singular value decomposition of a large matrix pair (Q2028035) (← links)
- Tensor extrapolation methods with applications (Q2041511) (← links)
- A comparison of parameter choice rules for \(\ell^p\)-\(\ell^q\) minimization (Q2084586) (← links)
- Image restoration by advanced parallel inertial forward-backward splitting methods (Q2099963) (← links)
- A regularized inverse problem approach for robust condition monitoring in industrial systems (Q2101245) (← links)
- On numerical approaches for solving an inverse Cauchy Stokes problem (Q2115130) (← links)
