Pages that link to "Item:Q2806184"
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The following pages link to Block-diagonal preconditioning for optimal control problems constrained by PDEs with uncertain inputs (Q2806184):
Displaying 24 items.
- Optimizing the fractional power in a model with stochastic PDE constraints (Q1632058) (← links)
- A stochastic gradient algorithm with momentum terms for optimal control problems governed by a convection-diffusion equation with random diffusivity (Q2104094) (← links)
- Optimal design of acoustic metamaterial cloaks under uncertainty (Q2128381) (← links)
- Block triangular preconditioning for stochastic Galerkin method (Q2141595) (← links)
- Taylor approximation and variance reduction for PDE-constrained optimal control under uncertainty (Q2214671) (← links)
- A low-rank inexact Newton-Krylov method for stochastic eigenvalue problems (Q2324348) (← links)
- Low-rank solvers for unsteady Stokes-Brinkman optimal control problem with random data (Q2417696) (← links)
- Preconditioning for PDE-constrained optimization with total variation regularization (Q2656682) (← links)
- Stochastic discontinuous Galerkin methods for robust deterministic control of convection-diffusion equations with uncertain coefficients (Q2692801) (← links)
- Analysis of Block Parareal Preconditioners for Parabolic Optimal Control Problems (Q3168787) (← links)
- Block-diagonal preconditioning for spectral stochastic finite-element systems (Q3624292) (← links)
- Matching Schur Complement Approximations for Certain Saddle-Point Systems (Q4611837) (← links)
- Sparse Solutions in Optimal Control of PDEs with Uncertain Parameters: The Linear Case (Q4625000) (← links)
- PRESAS: Block‐structured preconditioning of iterative solvers within a primal active‐set method for fast model predictive control (Q5003591) (← links)
- A Primal-Dual Projection Algorithm for Efficient Constraint Preconditioning (Q5021410) (← links)
- Optimality Conditions and Moreau–Yosida Regularization for Almost Sure State Constraints (Q5060167) (← links)
- Complexity Analysis of stochastic gradient methods for PDE-constrained optimal Control Problems with uncertain parameters (Q5074382) (← links)
- Taylor Approximation for Chance Constrained Optimization Problems Governed by Partial Differential Equations with High-Dimensional Random Parameters (Q5158925) (← links)
- A Low-Rank Matrix Equation Method for Solving PDE-Constrained Optimization Problems (Q5161762) (← links)
- A Distributed Optimal Control Problem with Averaged Stochastic Gradient Descent (Q5162128) (← links)
- Multilevel Monte Carlo Analysis for Optimal Control of Elliptic PDEs with Random Coefficients (Q5269872) (← links)
- Learning physics-based models from data: perspectives from inverse problems and model reduction (Q5887831) (← links)
- Performance Bounds for PDE-Constrained Optimization under Uncertainty (Q6116255) (← links)
- Numerical solution of an optimal control problem with probabilistic and almost sure state constraints (Q6661695) (← links)
