Title | ||
---|---|---|
Subdifferential characterization of probability functions under Gaussian distribution |
Abstract | ||
---|---|---|
Probability functions figure prominently in optimization problems of engineering. They may be nonsmooth even if all input data are smooth. This fact motivates the consideration of subdifferentials for such typically just continuous functions. The aim of this paper is to provide subdifferential formulae of such functions in the case of Gaussian distributions for possibly infinite-dimensional decision variables and nonsmooth (locally Lipschitzian) input data. These formulae are based on the spheric-radial decomposition of Gaussian random vectors on the one hand and on a cone of directions of moderate growth on the other. By successively adding additional hypotheses, conditions are satisfied under which the probability function is locally Lipschitzian or even differentiable. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1007/s10107-018-1237-9 | Mathematical Programming |
Keywords | Field | DocType |
Probability functions,Probabilistic constraint,Stochastic optimization,Multivariate Gaussian distribution,Spheric-radial decomposition,Clarke subdifferential,Mordukhovich subdifferential,90C15,90C30,49J52,49J53 | Discrete mathematics,Mathematical optimization,Inverse Gaussian distribution,Gaussian random field,Generalized inverse Gaussian distribution,Subderivative,Probability distribution,Gaussian process,Normal-inverse Gaussian distribution,Probability density function,Mathematics | Journal |
Volume | Issue | ISSN |
174.0 | SP1-2 | 1436-4646 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Abderrahim Hantoute | 1 | 22 | 6.09 |
René Henrion | 2 | 305 | 29.65 |
Pedro Pérez-Aros | 3 | 0 | 0.34 |