Results 11 to 20 of about 27,065 (263)

Stochastic programming approaches to stochastic scheduling [PDF]

open access: yesJournal of Global Optimization, 1996
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
John R. Birge, Michael A. H. Dempster
openaire   +4 more sources

Stochastic Probabilistic Programs

open access: yesCoRR, 2020
We introduce the notion of a stochastic probabilistic program and present a reference implementation of a probabilistic programming facility supporting specification of stochastic probabilistic programs and inference in them. Stochastic probabilistic programs allow straightforward specification and efficient inference in models with nuisance parameters,
David Tolpin, Tomer Dobkin
openaire   +3 more sources

On a method for solving the reliability problem of the mechanical system

open access: yesVietnam Journal of Mechanics, 1988
In this paper the problem of reliability is formulated in stochastic programming forms and corresponding algorithms are given. In some ordinary conditions of moebanical system, stochastic programming problems can change by that ones or the ...
Nguyen Van Pho
doaj   +1 more source

Challenges in stochastic programming [PDF]

open access: yesMathematical Programming, 1996
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

Stochastic Integer Programming by Dynamic Programming [PDF]

open access: yesStatistica Neerlandica, 1985
AbstractStochastic integer programming is a suitable tool for modeling hierarchical decision situations with combinatorial features. In continuation of our work on the design and analysis of heuristics for such problems, we now try to find optimal solutions.
B.J. Lageweg   +4 more
openaire   +6 more sources

Stochastic Programming for Selection Variables in Cluster Analysis

open access: yesJournal of Basic and Applied Research in Biomedicine, 2022
Cluster analysis is one of the most important techniques in the exploratory data analysis; it is goal to discover a natural grouping in a set of observations without knowledge of any class labels.  Variable selection has been very important for a lot of
Safia Ezzat   +3 more
doaj   +2 more sources

Modeling Multi-Objective, Multi-Product and Multi-Period Supplier Selection Problem Considering Stochastic Demand [PDF]

open access: yesمدیریت تولید و عملیات, 2018
In this paper, a multi-objective, multi-period and multi-product mixed integer programming model ‎for the supplier selection and quota allocation problem under an all-unit quantity discount policy, ‎constrained storage space and stochastic demand is ...
Mehdi Seifbarghy, Foruzan Naseri
doaj   +1 more source

Stochastic zero – one programming [PDF]

open access: yesالمجلة العراقية للعلوم الاحصائية, 2009
zero - one programming case from integer linear programming where the variable's are equal to zero or one, the decision factor uses this kind from programming when he meets him problems of the kind yes or no.
doaj   +1 more source

A STOCHASTIC APPROXIMATION ALGORITHM FOR STOCHASTIC SEMIDEFINITE PROGRAMMING [PDF]

open access: yesProbability in the Engineering and Informational Sciences, 2016
Motivated by applications to multi-antenna wireless networks, we propose a distributed and asynchronous algorithm for stochastic semidefinite programming. This algorithm is a stochastic approximation of a continuous-time matrix exponential scheme which is further regularized by the addition of an entropy-like term to the problem's objective function ...
Gaujal, Bruno, Mertikopoulos, Panayotis
openaire   +5 more sources

Portfolio Decision of Short-Term Electricity Forecasted Prices through Stochastic Programming

open access: yesEnergies, 2016
Deregulated electricity markets encourage firms to compete, making the development of renewable energy easier. An ordinary parameter of electricity markets is the electricity market price, mainly the day-ahead electricity market price.
Agustín A. Sánchez de la Nieta   +2 more
doaj   +1 more source

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