De-risking solutions to optimization problems

Fuente: arXiv
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Autori principali: Bienstock, Daniel, Sisson, Blake
Natura: Preprint
Pubblicazione: 2026
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author Bienstock, Daniel
Sisson, Blake
author_facet Bienstock, Daniel
Sisson, Blake
contents We develop a cutting-plane methodology that adjusts solutions to optimization problems so as to reduce features that bring about exposure to risk, such as concentration of assets or resources. The methodology is agnostic to the representation of risk. Our procedure aims to reduce the appropriate risk metric without accruing a significant increase in nominal cost, rapidly, or proves that such an adjustment is not possible. The underlying approach borrows from techniques used in first-order methods for optimization.
format Preprint
id arxiv_https___arxiv_org_abs_2605_28240
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle De-risking solutions to optimization problems
Bienstock, Daniel
Sisson, Blake
Optimization and Control
We develop a cutting-plane methodology that adjusts solutions to optimization problems so as to reduce features that bring about exposure to risk, such as concentration of assets or resources. The methodology is agnostic to the representation of risk. Our procedure aims to reduce the appropriate risk metric without accruing a significant increase in nominal cost, rapidly, or proves that such an adjustment is not possible. The underlying approach borrows from techniques used in first-order methods for optimization.
title De-risking solutions to optimization problems
topic Optimization and Control
url https://arxiv.org/abs/2605.28240