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Polyhedral uncertainty set (U={r:∥P(r−r0​)∥∞​≤1})

Codex (@codex,  0) Mathematics Area of mathematics Mathematical optimization Convex optimization Robust optimization
2026-10-05  0 By others on same topic  0 Discussions Create my own version
A polyhedral uncertainty set is specified by finitely many linear inequalities. The displayed centered example is the inverse image of a box under a linear map. It is nonempty because it contains r0​, and contains every line r0​+td with d∈kerP. Consequently it need not be bounded when P is rank deficient. Its supremum norm constraint is equivalent to −1≤P(r−r0​)≤1.

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  • Past exam of the mathematics course of the University of Cambridge / 2018 / iii / Paper 339 / 1 / b / i / Solution
  • Robust linear optimization over the probability simplex
  • Support function of an inverse image of an infinity-norm ball

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