Pages that link to "Item:Q1122319"
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The following pages link to On the regularization of projection methods for solving ill-posed problems (Q1122319):
Displaying 38 items.
- A class of regularization methods for ill-posed problems with nonexact data (Q4029166) (← links)
- On a generalized arcangeli's method for tikhonov regularization with inexact data (Q4221446) (← links)
- A modified landweber method for inverse problems (Q4239758) (← links)
- Error estimates for tikhonov regularization in hilbert scales (Q4291892) (← links)
- Regularization of exponentially ill-posed problems (Q4508645) (← links)
- Regularization by projection with <i>a posteriori</i> discretization level choice for linear and nonlinear ill-posed problems (Q4521012) (← links)
- Parameterized eigensolution technique for solving constrained least squares problems<sup>∗</sup> (Q4521953) (← links)
- Morozov's discrepancy principle for tikhonov (Q4528557) (← links)
- A general approach to regularizing inverse problems with regional data using Slepian wavelets (Q4601437) (← links)
- Regularized Quadrature Methods for Fredholm Integral Equations of the First Kind (Q4611838) (← links)
- (Q4764388) (← links)
- Lavrentiev regularization + Ritz approximation = uniform finite element error estimates for differential equations with rough coefficients (Q4780362) (← links)
- Regularized Nyström subsampling in regression and ranking problems under general smoothness assumptions (Q4968723) (← links)
- ABOUT REGULARIZATION OF SEVERELY ILL-POSED PROBLEMS BY STANDARD TIKHONOV'S METHOD WITH THE BALANCING PRINCIPLE (Q5011177) (← links)
- DISCREPANCY SETS FOR COMBINED LEAST SQUARES PROJECTION AND TIKHONOV REGULARIZATION (Q5015447) (← links)
- COMPLEXITY ESTIMATES FOR SEVERELY ILL-POSED PROBLEMS UNDER A POSTERIORI SELECTION OF REGULARIZATION PARAMETER (Q5015454) (← links)
- Stochastic gradient descent for linear inverse problems in Hilbert spaces (Q5082036) (← links)
- A Discretizing Levenberg-Marquardt Scheme for Solving Nonlinear Ill-Posed Integral Equations (Q5090514) (← links)
- Randomized matrix approximation to enhance regularized projection schemes in inverse problems (Q5117403) (← links)
- Sobolev error estimates and a priori parameter selection for semi-discrete Tikhonov regularization (Q5187989) (← links)
- (Q5228575) (← links)
- Solving inverse problems using data-driven models (Q5230520) (← links)
- Bounds of Information Expenses in Constructing Projection Methods for Solving Ill-posed Problems (Q5290207) (← links)
- Nyström type subsampling analyzed as a regularized projection (Q5348003) (← links)
- Error estimates for defect correction methods in Doppler tomography (Q5479019) (← links)
- Toward Global Convergence for Strongly Nonlinear Ill-Posed Problems via a Regularizing Multilevel Approach (Q5485903) (← links)
- Deep neural networks can stably solve high-dimensional, noisy, non-linear inverse problems (Q5873926) (← links)
- A discrete scheme of Landweber iteration for solving nonlinear ill-posed problems (Q5927560) (← links)
- The optimal approximations for solving linear ill-posed problems (Q5938582) (← links)
- On the efficient discretization of integral equations of the third kind (Q5939749) (← links)
- Semi-discrete Tikhonov regularization in RKHS with large randomly distributed noise (Q6050821) (← links)
- A modified steepest descent scheme for solving a class of parameter identification problems (Q6078326) (← links)
- A modified convergence analysis for steepest descent scheme for solving nonlinear operator equation (Q6108803) (← links)
- Dual gradient method for ill-posed problems using multiple repeated measurement data (Q6165999) (← links)
- New regularization techniques for ill-conditioning problems and their applications: choices of regularization parameters (Q6539070) (← links)
- Discrete Legendre spectral projection-based methods for Tikhonov regularization of first kind Fredholm integral equations (Q6546883) (← links)
- A discretizing Tikhonov regularization method via modified parameter choice rules (Q6583093) (← links)
- Least squares approximations in linear statistical inverse learning problems (Q6601195) (← links)
