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Country: Switzerland
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927 papers
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A recourse certainty equivalent for decisions under uncertainty
1991,
Ben-Tal Aharon
The authors propose a new criterion for decision-making under uncertainty. The...
Conditional expectation of integrands and random sets
1991,
Truffert A.
The conditional expectation of integrands and random sets is the main tool of...
Glivenko-Cantelli type theorems: An application of the convergence theory of stochastic suprema
1991,
Salinetti Gabriella
The uniform convergence of empirical processes on certain classes of sets follows from...
Growth-security profiles in captial accumulation under risk
1991,
MaClean L.C.
This paper considers the tradeoff between growth and security in the problem of...
Linear programming with stochastic processes as parameters as applied to production planning
1991,
Jagannathan Raj
In formulating stochastic programming with recourse models, the parameters of the...
Adaptive approaches to stochastic programming
1991,
McAllister Patrick H.
Economists have found a need to model agents who behave in ways that are not...
Scenario optimization
1991,
Dembo Ron S.
Uncertainty in the parameters of a mathematical program may present a modeller with...
Guaranteeing approach to solving quantile optimization problems
1991,
Kibzun A.I.
This paper presents a numerical method for solving quantile optimization problems,...
Stochastic programming with random processes
1991,
Cipra Tomas
Three possible approaches to stochastic programming problems defined in time (so that...
Asymptotic analysis of stochastic programs
1991,
Shapiro Alexander
The paper discusses a general approach to studying asymptotic properties of...
Normalized convergence in stochastic optimization
1991,
Ermoliev Yuri M.
A new concept of (normalized) convergence of random variables is introduced. This...
On statistical sensitivity analysis in stochastic programming
1991,
Dupacova Jitka
Different approaches to statistical sensitivity analysis for optimal solutions of...
Statistical verification of optimality conditions for stochastic programs with recourse
1991,
Higle Julia L.
Statistically motivated algorithms for the solution of stochastic programming problems...
Stability analysis for stochastic programs
1991,
Romisch Werner
For stochastic programs with recourse and with (several joint) probabilistic...
An upper bound for SLP using first and total second moments
1991,
Kall P.
In 1987, J. Dulá considered the problem of finding an upper bound for the...
Bounding separable recourse functions with limited distribution information
1991,
Birge John R.
The recourse function in a stochastic program with recourse can be approximated by...
On the evaluation of strategies for branching bandit processes
1991,
Glazebrook K.D.
Glazebrook has given an account of improved procedures for strategy evaluation for...
A numerical method for solving stochastic programming problems with moment constraints on a distribution function
1991,
Gaivoronski Alexei A.
The stochastic programming problem is considered in the case of a distribution...
Approximate nonlinear programming algorithms for solving stochastic programs with recourse
1991,
Wang Jinde
This paper summarizes the main results on approximate nonlinear programming algorithms...
Extended scenario analysis
1991,
Robinson Stephen M.
Scenario analysis, as proposed by Rockafellar and Wets, in a stochastic programming...
Applying the progressive hedging algorithm to stochastic generalized networks
1991,
Mulvey John M.
The introduction of uncertainty to mathematical programs greatly increases the size of...
Approximate scenario solutions in the progressive hedging algorithm: A numerical study with an application to fisheries management
1991,
Wallace Stein W.
This paper describes how the scenario aggregation principle can be combined with...
Structural properties of the progressive hedging algorithm
1991,
Wallace Stein W.
This short note discusses some structural properties of the progressive hedging...
Investments in stochastic maximum flow networks
1991,
Wollmer Richard D.
Each arc ( i,j) of the network has capacity ξ ij where ξ ij is a non-negative...
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