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20192021
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math.OC2022

S-BORM: Reliability-based optimization of general systems using buffered optimization and reliability method

Ji-Eun Byun, Welington de Oliveira, Johannes O. Royset

Reliability-based optimization (RBO) is crucial for identifying optimal risk-informed decisions for designing and operating engineering systems. However, its computation remains ch…

math.OC2021

Gradients and Subgradients of Buffered Failure Probability

Johannes O. Royset, Ji-Eun Byun

Gradients and subgradients are central to optimization and sensitivity analysis of buffered failure probabilities. We furnish a characterization of subgradients based on subdiffere…

math.OC2021

Data-driven optimization of reliability using buffered failure probability

Ji-Eun Byun, Johannes O. Royset

Design and operation of complex engineering systems rely on reliability optimization. Such optimization requires us to account for uncertainties expressed in terms of compli-cated,…

math.OC2021

Good and Bad Optimization Models: Insights from Rockafellians

Johannes O. Royset

A basic requirement for a mathematical model is often that its solution (output) shouldn't change much if the model's parameters (input) are perturbed. This is important because th…

math.OC2020

Set-Convergence and Its Application: A Tutorial

Johannes O. Royset

Optimization problems, generalized equations, and the multitude of other variational problems invariably lead to the analysis of sets and set-valued mappings as well as their appro…

math.OC2019

Stability and Error Analysis for Optimization and Generalized Equations

Johannes O. Royset

Stability and error analysis remain challenging for problems that lack regularity properties near solutions, are subject to large perturbations, and might be infinite dimensional.…