Eventual convexity of chance constrained feasible sets
DOI10.1080/02331934.2013.855211zbMath1321.49042OpenAlexW2070282563MaRDI QIDQ5248236
Publication date: 28 April 2015
Published in: Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02331934.2013.855211
stochastic optimizationconvexityprobabilistic constraintcopulaechance-constrained-programmingjoint-chance-constraints
Numerical mathematical programming methods (65K05) Stochastic programming (90C15) Numerical methods based on nonlinear programming (49M37) Optimal stochastic control (93E20) Optimality conditions for problems involving randomness (49K45) Variants of convex sets (star-shaped, ((m, n))-convex, etc.) (52A30)
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Cites Work
- Multivariate Archimedean copulas, \(d\)-monotone functions and \(\ell _{1}\)-norm symmetric distributions
- Convexity of chance constraints with independent random variables
- On extensions of the Brunn-Minkowski and Prekopa-Leindler theorems, including inequalities for log concave functions, and with an application to the diffusion equation
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