Pages that link to "Item:Q870762"
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The following pages link to A truncated projected SVD method for linear discrete ill-posed problems (Q870762):
Displaying 23 items.
- Model selection criteria for a linear model to solve discrete ill-posed problems on the basis of singular decomposition and random projection (Q333589) (← links)
- Subspace-restricted singular value decompositions for linear discrete ill-posed problems (Q607252) (← links)
- An iterative method for Tikhonov regularization with a general linear regularization operator (Q616671) (← links)
- An extrapolated TSVD method for linear discrete ill-posed problems with Kronecker structure (Q630512) (← links)
- A new Tikhonov regularization method (Q664611) (← links)
- Inverse problems for regularization matrices (Q715137) (← links)
- Vector extrapolation enhanced TSVD for linear discrete ill-posed problems (Q1027779) (← links)
- Parameter determination for Tikhonov regularization problems in general form (Q1643811) (← links)
- Optimization methods for regularization-based ill-posed problems: a survey and a multi-objective framework (Q1712546) (← links)
- Solving a class of nonlinear inverse problems using a feedback control approach (Q1993039) (← links)
- A novel modified TRSVD method for large-scale linear discrete ill-posed problems (Q1995939) (← links)
- A special modified Tikhonov regularization matrix for discrete ill-posed problems (Q2177871) (← links)
- Simplified GSVD computations for the solution of linear discrete ill-posed problems (Q2252680) (← links)
- On the perturbation of an \(L^2\)-orthogonal projection (Q2291975) (← links)
- A modified Tikhonov regularization method (Q2349551) (← links)
- On the computation of a truncated SVD of a large linear discrete ill-posed problem (Q2360674) (← links)
- Combining approximate solutions for linear discrete ill-posed problems (Q2428133) (← links)
- Exploiting compression in solving discretized linear systems (Q2672181) (← links)
- A modified truncated singular value decomposition method for discrete ill-posed problems (Q2948087) (← links)
- Optimal Choice of a Truncation Level for the Truncated SVD Solution of Linear First Kind Integral Equations When Data are Noisy (Q3723661) (← links)
- Comparative studies on the criteria for regularization parameter selection based on moving force identification (Q5153249) (← links)
- Tridiagonal Toeplitz matrices: properties and novel applications (Q5397321) (← links)
- A projection method for general form linear least-squares problems (Q6170089) (← links)
