A priori error estimate of perturbation method for optimal control problem governed by elliptic PDEs with small uncertainties
DOI10.1007/s10589-022-00352-4zbMath1487.49024OpenAlexW4213025039WikidataQ114227021 ScholiaQ114227021MaRDI QIDQ2114838
Publication date: 15 March 2022
Published in: Computational Optimization and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10589-022-00352-4
Optimality conditions for problems involving partial differential equations (49K20) Finite element, Rayleigh-Ritz and Galerkin methods for initial value and initial-boundary value problems involving PDEs (65M60) PDEs with randomness, stochastic partial differential equations (35R60) Optimality conditions for problems involving randomness (49K45)
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- A priori error estimate of stochastic Galerkin method for optimal control problem governed by stochastic elliptic PDE with constrained control
- Finite element approximations of stochastic optimal control problems constrained by stochastic elliptic PDEs
- A priori and a posteriori error analysis of edge stabilization Galerkin method for the optimal control problem governed by convection-dominated diffusion equation
- Generalized stochastic perturbation technique in engineering computations
- Robust and efficient methods for stochastic finite element analysis using Monte Carlo simulation
- Monte Carlo and quasi-Monte Carlo methods 1996. Proceedings of a conference at the University of Salzburg, Austria, July 9--12, 1996
- Inelastic deformation processes with random parameters -- methods of analysis and design.
- On solving elliptic stochastic partial differential equations
- A Posteriori Error Estimates for Convex Boundary Control Problems
- ERROR ESTIMATES IN THE APPROXIMATION OF OPTIMIZATION PROBLEMS GOVERNED BY NONLINEAR OPERATORS
- A posteriori error estimation for elliptic partial differential equations with small uncertainties
- An Introduction to Computational Stochastic PDEs
- SOLVING STOCHASTIC PARTIAL DIFFERENTIAL EQUATIONS BASED ON THE EXPERIMENTAL DATA
- Error Estimates of Stochastic Optimal Neumann Boundary Control Problems
- A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data
- An Anisotropic Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data
- A Sparse Grid Stochastic Collocation Discontinuous Galerkin Method for Constrained Optimal Control Problem Governed by Random Convection Dominated Diffusion Equations
- Galerkin Finite Element Approximations of Stochastic Elliptic Partial Differential Equations
- A Sparse Grid Stochastic Collocation and Finite Volume Element Method for Constrained Optimal Control Problem Governed by Random Elliptic Equations
- The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations
- Finite Element Approximations of an Optimal Control Problem with Integral State Constraint
- The Mathematical Theory of Finite Element Methods
- On generalized stochastic perturbation‐based finite element method
- A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data
- Stochastic differential equations. An introduction with applications.
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