Pages that link to "Item:Q1699478"
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The following pages link to A low-rank approach to the solution of weak constraint variational data assimilation problems (Q1699478):
Displaying 16 items.
- Weak-norm posterior contraction rate of the 4DVAR method for linear severely ill-posed problems (Q1745629) (← links)
- Low-rank approximations for computing observation impact in 4D-Var data assimilation (Q2013720) (← links)
- Optimality properties of Galerkin and Petrov-Galerkin methods for linear matrix equations (Q2022383) (← links)
- Stochastic discontinuous Galerkin methods with low-rank solvers for convection diffusion equations (Q2058395) (← links)
- On the convergence of Krylov methods with low-rank truncations (Q2234488) (← links)
- Backward error and condition number of a generalized Sylvester equation, with application to the stochastic Galerkin method (Q2310410) (← links)
- Stochastic discontinuous Galerkin methods for robust deterministic control of convection-diffusion equations with uncertain coefficients (Q2692801) (← links)
- Stein-based preconditioners for weak-constraint 4D-var (Q2699364) (← links)
- A limited-memory multiple shooting method for weakly constrained variational data assimilation (Q2834568) (← links)
- Low rank updates in preconditioning the saddle point systems arising from data assimilation problems (Q4638911) (← links)
- Spectral estimates for saddle point matrices arising in weak constraint four‐dimensional variational data assimilation (Q5140444) (← links)
- Data-Driven Modeling for Wave-Propagation (Q5152865) (← links)
- Numerical linear algebra in data assimilation (Q6068266) (← links)
- State estimation in nonlinear parametric time dependent systems using tensor train (Q6071444) (← links)
- Preconditioner design via Bregman divergences (Q6561642) (← links)
- Low-rank solutions to the stochastic Helmholtz equation (Q6569163) (← links)
