We consider the use of the Fortet-Mourier metric between two probability measures to bound the error term made by an approximated solution of a stochastic program. After a short analysis of usual stability arguments, we propose a simple example of stochastic program which enlightens the importance of the information structure. As a conclusion, we underline the need to take into account both the probability measure and the information structure in the discretization of a stochastic program
Usually, it is very complicated to investigate and to solve optimization problems depending on a pro...
SIGLEAvailable from TIB Hannover: RR 6329(2000,22) / FIZ - Fachinformationszzentrum Karlsruhe / TIB ...
We consider an optimization problem in which some uncertain parmeters are replaced by random variabl...
We consider the use of the Fortet-Mourier metric between two probability measures to bound the error...
We consider the use of the Fortet-Mourier metric between two probability measures to bound the error...
Fortet-Mourier (FM) probability metrics are important probability metrics, which have been widely ad...
Quantitative stability of optimal values and solution sets to stochastic programming problems is stu...
Quantitative stability of optimal values and solution sets to stochastic programming problems is stu...
Quantitative stability of optimal values and solution sets to stochastic programming problems is stu...
summary:This paper deals with stability of stochastic optimization problems in a general setting. Ob...
summary:Economic and financial processes are mostly simultaneously influenced by a random factor and...
This paper considers distributionally robust formulations of a two stage stochastic programmingprobl...
In this paper we present a stability analysis of a stochastic optimization problem with stochastic s...
International audienceMotivated by the numerical resolution of stochastic optimization problems subj...
General quantitative stability results for stochastic programs are formulated in terms of probabilit...
Usually, it is very complicated to investigate and to solve optimization problems depending on a pro...
SIGLEAvailable from TIB Hannover: RR 6329(2000,22) / FIZ - Fachinformationszzentrum Karlsruhe / TIB ...
We consider an optimization problem in which some uncertain parmeters are replaced by random variabl...
We consider the use of the Fortet-Mourier metric between two probability measures to bound the error...
We consider the use of the Fortet-Mourier metric between two probability measures to bound the error...
Fortet-Mourier (FM) probability metrics are important probability metrics, which have been widely ad...
Quantitative stability of optimal values and solution sets to stochastic programming problems is stu...
Quantitative stability of optimal values and solution sets to stochastic programming problems is stu...
Quantitative stability of optimal values and solution sets to stochastic programming problems is stu...
summary:This paper deals with stability of stochastic optimization problems in a general setting. Ob...
summary:Economic and financial processes are mostly simultaneously influenced by a random factor and...
This paper considers distributionally robust formulations of a two stage stochastic programmingprobl...
In this paper we present a stability analysis of a stochastic optimization problem with stochastic s...
International audienceMotivated by the numerical resolution of stochastic optimization problems subj...
General quantitative stability results for stochastic programs are formulated in terms of probabilit...
Usually, it is very complicated to investigate and to solve optimization problems depending on a pro...
SIGLEAvailable from TIB Hannover: RR 6329(2000,22) / FIZ - Fachinformationszzentrum Karlsruhe / TIB ...
We consider an optimization problem in which some uncertain parmeters are replaced by random variabl...