Pages that link to "Item:Q4594173"
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The following pages link to Solving Mixed Sparse-Dense Linear Least-Squares Problems by Preconditioned Iterative Methods (Q4594173):
Displaying 14 items.
- 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)
- A discrete least squares collocation method for two-dimensional nonlinear time-dependent partial differential equations (Q2222281) (← links)
- New preconditioners applied to linear programming and the compressive sensing problems (Q2226494) (← links)
- The State-of-the-Art of Preconditioners for Sparse Linear Least-Squares Problems (Q3133587) (← links)
- MIQR: A Multilevel Incomplete QR Preconditioner for Large Sparse Least‐Squares Problems (Q3435010) (← links)
- Sparse Preconditioned Iterative Methods for Dense Linear Systems (Q4310902) (← 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)
- Least squares preconditioning for mixed methods with nonconforming trial spaces (Q5140808) (← links)
- Sparse Stretching for Solving Sparse-Dense Linear Least-Squares Problems (Q5230611) (← links)
- Enhancing Block Cimmino for Sparse Linear Systems with Dense Columns via Schur Complement (Q5889340) (← links)
- Approximating sparse Hessian matrices using large-scale linear least squares (Q6582397) (← links)
