Pages that link to "Item:Q2866181"
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The following pages link to Regularization with randomized SVD for large-scale discrete inverse problems (Q2866181):
Displaying 30 items.
- Randomized SVD methods in hyperspectral imaging (Q693807) (← links)
- Robust inversion, dimensionality reduction, and randomized sampling (Q715245) (← links)
- Compression approaches for the regularized solutions of linear systems from large-scale inverse problems (Q901334) (← links)
- A novel modified TRSVD method for large-scale linear discrete ill-posed problems (Q1995939) (← links)
- Tikhonov regularization with MTRSVD method for solving large-scale discrete ill-posed problems (Q2068645) (← links)
- A randomized method for solving discrete ill-posed problems (Q2263217) (← links)
- Randomized core reduction for discrete ill-posed problem (Q2309262) (← links)
- Golub-Kahan vs. Monte Carlo: a comparison of bidiagonlization and a randomized SVD method for the solution of linear discrete ill-posed problems (Q2665542) (← links)
- Randomized generalized singular value decomposition (Q2667344) (← links)
- Quantum regularized least squares solver with parameter estimate (Q2677271) (← links)
- Tikhonov regularization and randomized GSVD (Q2813331) (← links)
- An approximate linear solver in least square support vector machine using randomized singular value decomposition (Q3461640) (← links)
- Modified truncated randomized singular value decomposition (MTRSVD) algorithms for large scale discrete ill-posed problems with general-form regularization (Q4569361) (← links)
- Literature survey on low rank approximation of matrices (Q4603753) (← links)
- Convergence analyses based on frequency decomposition for the randomized row iterative method (Q4957751) (← links)
- A data-scalable randomized misfit approach for solving large-scale PDE-constrained inverse problems (Q4978513) (← links)
- Selecting Regularization Parameters for Nuclear Norm--Type Minimization Problems (Q5095492) (← links)
- Subspaces Analysis for Random Projection UTV Framework (Q5099408) (← links)
- Randomized matrix approximation to enhance regularized projection schemes in inverse problems (Q5117403) (← links)
- Regularized Linear Inversion with Randomized Singular Value Decomposition (Q5117954) (← links)
- Tikhonov regularization for polynomial approximation problems in Gauss quadrature points (Q5150823) (← links)
- Pass-Efficient Randomized Algorithms for Low-Rank Matrix Approximation Using Any Number of Views (Q5194597) (← links)
- Subspace Iteration Randomization and Singular Value Problems (Q5254699) (← links)
- A literature survey of matrix methods for data science (Q6068265) (← links)
- Solution of the EEG inverse problem by random dipole sampling (Q6136776) (← links)
- On unifying randomized methods for inverse problems (Q6162746) (← links)
- Convex set-oriented singular value decomposition with bounded uncertainties (Q6569179) (← links)
- Quantum-inspired algorithm for truncated total least squares solution (Q6582001) (← links)
- Randomized GCUR decompositions (Q6614936) (← links)
- Enhancing deep stochastic configuration networks: efficient training via low-rank matrix approximation (Q6645023) (← links)
