An entropic Landweber method for linear ill-posed problems
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Publication:5210435
DOI10.1088/1361-6420/ab5c49zbMath1461.65108arXiv1906.10032OpenAlexW3098222293MaRDI QIDQ5210435
Martin Burger, Elena Resmerita, Martin Benning
Publication date: 20 January 2020
Published in: Inverse Problems (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1906.10032
Numerical solutions of ill-posed problems in abstract spaces; regularization (65J20) Linear operators and ill-posed problems, regularization (47A52)
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Cites Work
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- Computational Optimal Transport: With Applications to Data Science
- Exponentiated gradient versus gradient descent for linear predictors
- Error estimation for Bregman iterations and inverse scale space methods in image restoration
- Stochastic methods. A handbook for the natural and social sciences
- Noncoercive convection-diffusion elliptic problems with Neumann boundary conditions
- Proximal minimization algorithm with \(D\)-functions
- Steepest descent methods with generalized distances for constrained optimization
- On the uniqueness and stability of entropy solutions of nonlinear degenerate parabolic equations with rough coefficients
- Mirror descent and nonlinear projected subgradient methods for convex optimization.
- Convergence criteria of iterative methods based on Landweber iteration for solving nonlinear problems
- Sampling the posterior: an approach to non-Gaussian data assimilation
- ON CONVEX SOBOLEV INEQUALITIES AND THE RATE OF CONVERGENCE TO EQUILIBRIUM FOR FOKKER-PLANCK TYPE EQUATIONS
- Convergence of the linearized Bregman iteration for ℓ₁-norm minimization
- An iterative regularization method for the solution of the split feasibility problem in Banach spaces
- Joint additive Kullback–Leibler residual minimization and regularization for linear inverse problems
- Iterative total variation schemes for nonlinear inverse problems
- Maximum entropy regularization of Fredholm integral equations of the first kind
- First-Order Methods in Optimization
- An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
- Modern regularization methods for inverse problems
- Iterative Bregman Projections for Regularized Transportation Problems
- Bregman Iterative Algorithms for $\ell_1$-Minimization with Applications to Compressed Sensing
- Regularization of ill-posed problems in Banach spaces: convergence rates
- Tikhonov replacement functionals for iteratively solving nonlinear operator equations