Decreasing the sensitivity of open-loop optimal solutions in decision making under uncertainty
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Publication:1969865
DOI10.1016/S0377-2217(99)00034-XzbMath0961.90109OpenAlexW2147228529MaRDI QIDQ1969865
Publication date: 19 March 2000
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0377-2217(99)00034-x
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Cites Work
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- Dynamic programming and stochastic control
- Scenario optimization
- A class of superlinearly convergent projection algorithms with relaxed stepsizes
- Solutions to a class of minimax decision problems arising in communication systems
- A method of stochastic subgradients with complete feedback stepsize rule for convex stochastic approximation problems
- A recourse certainty equivalent for decisions under uncertainty
- \(H^ \infty\) - optimal control and related minimax design problems. A dynamic game approach
- Stochastic approximation methods for constrained and unconstrained systems
- An algorithm for constrained nonlinear optimization under uncertainty
- Robust optimal decisions with stochastic nonlinear economic systems
- Production planning via scenario modelling
- Stochastic and robust control of nonlinear economic systems
- On the use of optimization models for portfolio selection: A review and some computational results
- Robustness of minimax controllers to nonlinear perturbations
- Stability and sensitivity-analysis for stochastic programming
- Introduction to stochastic control theory
- Expected Utility, Penalty Functions, and Duality in Stochastic Nonlinear Programming
- Scenarios and Policy Aggregation in Optimization Under Uncertainty
- Robust Capacity Planning Under Uncertainty
- stochastic quasigradient methods and their application to system optimization†
- Stochastic programming with incomplete information:a surrey of results on postoptimization and sensitivity analysis
- The value of the stochastic solution in stochastic linear programs with fixed recourse
- Robust Solutions in Stochastic Linear Programming
- Sensitivity analysis for nonlinear programming using penalty methods
- Nonlinear programming methods in the presence of noise
- Algorithms for nonlinear constraints that use lagrangian functions
- Minimax robust decentralized detection
- An Algorithm for the Inequality-Constrained Discrete Min--Max Problem
- Model Simplification and Optimal Control of Stochastic Singularly Perturbed Systems under Exponentiated Quadratic Cost
- Robust Optimization of Large-Scale Systems
- Risk Aversion in the Small and in the Large
- Convex programming in Hilbert space
- The matrix minimum principle
- Computational Algorithms for Convex Stochastic Programs with Simple Recourse
- Alternative Approaches to the Theory of Choice in Risk-Taking Situations
