Deprecated: $wgMWOAuthSharedUserIDs=false is deprecated, set $wgMWOAuthSharedUserIDs=true, $wgMWOAuthSharedUserSource='local' instead [Called from MediaWiki\HookContainer\HookContainer::run in /var/www/html/w/includes/HookContainer/HookContainer.php at line 135] in /var/www/html/w/includes/Debug/MWDebug.php on line 372
Risk-Averse PDE-Constrained Optimization Using the Conditional Value-At-Risk - MaRDI portal

Risk-Averse PDE-Constrained Optimization Using the Conditional Value-At-Risk

From MaRDI portal
Publication:5743613

DOI10.1137/140954556zbMath1337.49049OpenAlexW2263557086MaRDI QIDQ5743613

Drew P. Kouri, Thomas M. Surowiec

Publication date: 5 February 2016

Published in: SIAM Journal on Optimization (Search for Journal in Brave)

Full work available at URL: https://www.osti.gov/biblio/1145907




Related Items (48)

A Locally Adapted Reduced-Basis Method for Solving Risk-Averse PDE-Constrained Optimization ProblemsRobust optimal control of stochastic hyperelastic materialsOptimal design of acoustic metamaterial cloaks under uncertaintyA primal-dual algorithm for risk minimizationGeneralized Nash Equilibrium Problems with Partial Differential Operators: Theory, Algorithms, and Risk AversionExistence and Optimality Conditions for Risk-Averse PDE-Constrained OptimizationOptimality Conditions and Moreau–Yosida Regularization for Almost Sure State ConstraintsComplexity Analysis of stochastic gradient methods for PDE-constrained optimal Control Problems with uncertain parametersAn Approximation Scheme for Distributionally Robust PDE-Constrained OptimizationRisk-Adapted Optimal Experimental DesignWasserstein Sensitivity of Risk and Uncertainty PropagationA stochastic gradient method for a class of nonlinear PDE-constrained optimal control problems under uncertaintyConsistency of Monte Carlo estimators for risk-neutral PDE-constrained optimizationRisk-averse design of tall buildings for uncertain wind conditionsConstrained Optimization with Low-Rank Tensors and Applications to Parametric Problems with PDEsGradient-based optimisation of the conditional-value-at-risk using the multi-level Monte Carlo methodDeterministic bicriteria model for stochastic variational inequalitiesPerformance Bounds for PDE-Constrained Optimization under UncertaintyA scalable framework for multi-objective PDE-constrained design of building insulation under uncertaintyA Measure Approximation for Distributionally Robust PDE-Constrained Optimization ProblemsSample Size Estimates for Risk-Neutral Semilinear PDE-Constrained OptimizationRisk-neutral PDE-constrained generalized Nash equilibrium problemsEpi-Regularization of Risk MeasuresModel Order Reduction Techniques with a Posteriori Error Control for Nonlinear Robust Optimization Governed by Partial Differential EquationsProperties of chance constraints in infinite dimensions with an application to PDE constrained optimizationRisk-averse optimal control of semilinear elliptic PDEsChance constrained optimization of elliptic PDE systems with a smoothing convex approximationTaylor approximation and variance reduction for PDE-constrained optimal control under uncertaintySparse Solutions in Optimal Control of PDEs with Uncertain Parameters: The Linear CaseAdaptive Reduced-Order Model Construction for Conditional Value-at-Risk EstimationOn quantitative stability in infinite-dimensional optimization under uncertaintyMean-Variance Risk-Averse Optimal Control of Systems Governed by PDEs with Random Parameter Fields Using Quadratic ApproximationsAn Interior-Point Approach for Solving Risk-Averse PDE-Constrained Optimization Problems with Coherent Risk MeasuresSpectral risk measures: the risk quadrangle and optimal approximationUncertainty quantification with risk measures in production planningOptimality Conditions for Convex Stochastic Optimization Problems in Banach Spaces with Almost Sure State ConstraintsTaylor Approximation for Chance Constrained Optimization Problems Governed by Partial Differential Equations with High-Dimensional Random ParametersA certified model reduction approach for robust parameter optimization with PDE constraintsStochastic proximal gradient methods for nonconvex problems in Hilbert spacesA domain decomposition algorithm for optimal control problems governed by elliptic PDEs with random inputsTopology optimization under uncertainty via non-intrusive polynomial chaos expansionAlgorithms and analyses for stochastic optimization for turbofan noise reduction using parallel reduced-order modelingRisk averse stochastic structural topology optimizationRobust Optimization of PDEs with Random Coefficients Using a Multilevel Monte Carlo MethodAn approach for robust PDE-constrained optimization with application to shape optimization of electrical engines and of dynamic elastic structures under uncertaintyNew directions in stochastic optimisation. Abstracts from the workshop held August 19--25, 2018MG/OPT and Multilevel Monte Carlo for Robust Optimization of PDEsA Quasi-Monte Carlo Method for Optimal Control Under Uncertainty



Cites Work


This page was built for publication: Risk-Averse PDE-Constrained Optimization Using the Conditional Value-At-Risk