Results 271 to 280 of about 271,753 (311)

Stochastic Methods for Production Processes

Economic Quality Control, 2004
Summary: In two recent papers [\textit{E. von Collani}, ``Theoretical stochastics'' and ``Empirical stochastics'', in: E. v. Collani (ed.), Defining the science of stochastics. Lemgo: Heldermann Verlag. 147--174 and 175--213 (2004), contained in Zbl 1094.62005], Stochastics, the Science of Prediction is re-established, its basic concepts are developed ...
von Collani, Elart, Dumitrescu, Monica
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Stochastic Reduced Basis Methods

AIAA Journal, 2002
Stochastic reduced basis methods for solving large-scale linear random algebraic systems of equations, such as those obtained by discretizing linear stochastic partial differential equations in space, time, and the random dimension, are introduced.
Nair, Prasanth B., Keane, Andrew J.
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Stochastic Methods in Transport Theory

Fusion Technology, 1998
info:eu-repo/semantics ...
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A Method for Discrete Stochastic Optimization

Management Science, 1995
This paper addresses the problem of optimizing a function over a finite or countably infinite set of alternatives, in situations where this objective function cannot be evaluated exactly, but has to be estimated or measured. A special focus is on situations where simulation is used to evaluate the objective function.
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Stochastic Network Planning Method

2009
The success of the realisation of a project depends greatly on the efficiency of the planning phase. This study presents a new technology supporting the planning phase.
Zsolt Tibor Kosztyán, Judit Kiss
openaire   +1 more source

The Stochastic Ray Method for Radiosity

1995
This paper solves the system of radiosity equations with a stochastic numerical approach. Due to the high complexity of the problem for highly complex scenes, a stochastic variation of Jacobi iteration is developed which converges stochastically to the correct solution.
László Neumann, Werner Purgathofer, Robert F. Tobler, Attila Neumann, Pavol Eliás, Martin Feda, Xavier Pueyo   +6 more
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Decomposition methods in stochastic programming

Mathematical Programming, 1997
Stochastic programming problems have very large dimension and characteristic structures which are tractable by decomposition. We review basic ideas of cutting plane methods, augmented Lagrangian and splitting methods, and stochastic decomposition methods for convex polyhedral multi-stage stochastic programming problems..
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Structural stochastic responses determination via a sample-based stochastic finite element method

Computer Methods in Applied Mechanics and Engineering, 2021
Zhibao Zheng, Hongzhe Dai
exaly  

Stochastic Scheduling by the Horizon Method

Management Science, 1962
The stochastic scheduling problem discussed in this paper is similar to the classical inventory model. It is concerned with the demand for a single commodity expressed as a set of independent stochastic variables with known distributions and an objective functional composed of production and inventory cost variables. The model, however, incorporates a
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A weak-intrusive stochastic finite element method for stochastic structural dynamics analysis

Computer Methods in Applied Mechanics and Engineering, 2022
Zhibao Zheng, Michael Beer, Hongzhe Dai   +2 more
exaly