Pages that link to "Item:Q3133587"
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The following pages link to The State-of-the-Art of Preconditioners for Sparse Linear Least-Squares Problems (Q3133587):
Displaying 22 items.
- Optimal preconditioners of a given sparsity pattern (Q581999) (← links)
- Preconditioners for least squares problems by LU factorization (Q1292262) (← links)
- Rational approximation preconditioners for sparse linear systems. (Q1410875) (← links)
- A Schur complement approach to preconditioning sparse linear least-squares problems with some dense rows (Q1625762) (← links)
- Solving large linear least squares problems with linear equality constraints (Q2098770) (← links)
- A null-space approach for large-scale symmetric saddle point systems with a small and non zero \((2, 2)\) block (Q2159428) (← links)
- New preconditioners applied to linear programming and the compressive sensing problems (Q2226494) (← links)
- Preconditioners for rank deficient least squares problems (Q2297167) (← links)
- An inexact dual logarithmic barrier method for solving sparse semidefinite programs (Q2330644) (← links)
- Preconditioning of linear least squares by robust incomplete factorization for implicitly held normal equations (Q2831075) (← links)
- An Empirical Analysis of the Performance of Preconditioners for SPD Systems (Q2989166) (← links)
- MIQR: A Multilevel Incomplete QR Preconditioner for Large Sparse Least‐Squares Problems (Q3435010) (← links)
- Solving Mixed Sparse-Dense Linear Least-Squares Problems by Preconditioned Iterative Methods (Q4594173) (← links)
- Approximate Generalized Inverses with Iterative Refinement for $\epsilon$-Accurate Preconditioning of Singular Systems (Q5028552) (← links)
- A Computational Study of Using Black-box QR Solvers for Large-scale Sparse-dense Linear Least Squares Problems (Q5066598) (← links)
- A Robust Algebraic Domain Decomposition Preconditioner for Sparse Normal Equations (Q5075692) (← links)
- Sparse Stretching for Solving Sparse-Dense Linear Least-Squares Problems (Q5230611) (← links)
- A Note on Performance Profiles for Benchmarking Software (Q5270776) (← links)
- On Using Cholesky-Based Factorizations and Regularization for Solving Rank-Deficient Sparse Linear Least-Squares Problems (Q5350438) (← links)
- Preconditioners for Krylov subspace methods: An overview (Q6144043) (← links)
- Optimization of random feature method in the high-precision regime (Q6575315) (← links)
- Approximating sparse Hessian matrices using large-scale linear least squares (Q6582397) (← links)
