Pages that link to "Item:Q3066223"
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The following pages link to An Efficient Iterative Approach for Large-Scale Separable Nonlinear Inverse Problems (Q3066223):
Displaying 28 items.
- Constrained numerical optimization methods for blind deconvolution (Q393752) (← links)
- Kronecker product approximations for image restoration with whole-sample symmetric boundary conditions (Q425531) (← links)
- Nonlinear least-squares spline fitting with variable knots (Q2011125) (← links)
- Separable nonlinear least-squares parameter estimation for complex dynamic systems (Q2175990) (← links)
- Secant variable projection method for solving nonnegative separable least squares problems (Q2200805) (← links)
- The minimal-norm Gauss-Newton method and some of its regularized variants (Q2203382) (← links)
- Tikhonov regularized variable projection algorithms for separable nonlinear least squares problems (Q2280283) (← links)
- High-order iterative methods for the DMP inverse (Q2337105) (← links)
- A generalized computationally efficient inverse characterization approach combining direct inversion solution initialization with gradient-based optimization (Q2360363) (← links)
- An efficient computational approach for multiframe blind deconvolution (Q2428125) (← links)
- An alternative extrapolation scheme of PDHGM for saddle point problem with nonlinear function (Q2701426) (← links)
- Large-Scale Inverse Problems in Imaging (Q2789799) (← links)
- A Hybrid LSMR Algorithm for Large-Scale Tikhonov Regularization (Q3449797) (← links)
- Fast iterative solution of sparsely sampled seismic inverse problems (Q4307801) (← links)
- Inversion of large-support ill-posed linear operators using a piecewise Gaussian MRF (Q4503319) (← links)
- Convex blind image deconvolution with inverse filtering (Q4634755) (← links)
- A data-scalable randomized misfit approach for solving large-scale PDE-constrained inverse problems (Q4978513) (← links)
- Regularization by Inexact Krylov Methods with Applications to Blind Deblurring (Q5014161) (← links)
- A stochastic gradient descent approach with partitioned-truncated singular value decomposition for large-scale inverse problems of magnetic modulus data (Q5081796) (← links)
- slimTrain---A Stochastic Approximation Method for Training Separable Deep Neural Networks (Q5095499) (← links)
- Motion Estimation and Correction in Photoacoustic Tomographic Reconstruction (Q5266373) (← links)
- Optimal Regularized Inverse Matrices for Inverse Problems (Q5270416) (← links)
- A Well-Conditioned Non-Iterative Approach to Solution of the Inverse Problem (Q5352313) (← links)
- Generalized Hybrid Iterative Methods for Large-Scale Bayesian Inverse Problems (Q5372617) (← links)
- A polarization tensor approximation for the Hessian in iterative solvers for non-linear inverse problems (Q5861308) (← links)
- Variable projection methods for separable nonlinear inverse problems with general-form Tikhonov regularization (Q6110531) (← links)
- Generalized variational framework with minimax optimization for parametric blind deconvolution (Q6557638) (← links)
- Multi-step-length gradient iterative method for separable nonlinear least squares problems. (Q6584506) (← links)
