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Probabilistic and Randomized Methods for Design Under Uncertainty
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Probabilistic and Randomized Methods for Design Under Uncertainty (2007)Probabilistic and Randomized Methods for …Risk and complexity in scenario optimization (2019)Risk and complexity in scenar…Solving chance constrained optimal control problems in aerospace via kernel density estimation (2018)Solving chance constrained op…Robust Design Through Probabilistic Maximization (2018)Robust Design Through Probabi…Optimal design under uncertainty of bearing arrangements (2016)Optimal design under uncertai…Asymptotic formulas for the derivatives of probability functions and their Monte Carlo estimations (2008)Asymptotic formulas for the d…Handbooks in operations research and management science (1989)Stochastic Programming (2010)Introduction to Stochastic Programming (2011)(Sub-)Differentiability of Probability Functions with Elliptical Distributions (2017)Optimization Models with Probabilistic Constraints (2006)Fuzzy multi-objective model for supplier selection and order allocation in reverse logistics systems under supply and demand uncertainty (2015)Multiobjective robust optimization for crashworthiness design of foam filled thin-walled structures with random and interval uncertainties (2015)Reliability-Based Design Optimization Applied to a Rotor Supported by Hydrodynamic Bearings (2024)Stochastic Programming (1995)The Price of Robustness (2004)Convex Approximations of Chance Constrained Programs (2006)A Sample Approximation Approach for Optimization with Probabilistic Constraints (2008)The Exact Feasibility of Randomized Solutions of Uncertain Convex Programs (2008)Random Convex Programs (2010)Lectures on Stochastic Programming (2009)Distributionally Robust Optimization Under Moment Uncertainty with Application to Data-Driven Problems (2010)Data-Driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations (2015)Soft-constrained interval predictor models and epistemic reliability intervals: A new tool for uncertainty quantification with limited experimental data (2021)On the Exact Feasibility of Convex Scenario Programs With Discarded Constraints (2022)
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  • 2019Risk and complexity in scenario optimization77 cited
  • 2018Solving chance constrained optimal control problems in aerospace via kernel density estimation33 cited
  • 2008Asymptotic formulas for the derivatives of probability functions and their Monte Carlo estimations27 cited
  • 2018Robust Design Through Probabilistic Maximization11 cited
  • 2016Optimal design under uncertainty of bearing arrangements10 cited

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