Results 21 to 30 of about 31,999 (310)
Estimation of Accuracy and Reliability of Models of φ-sub-Gaussian Stochastic Processes in Spaces
Наукові вісті Національного технічного університету України "Київський політехнічний інститут", 2017 Background. At present, in the theory of stochastic process modeling a problem of assessment of reliability and accuracy of stochastic process model in C(T) space wasn’t studied for the case of inexplicit decomposition of process in the form of a series ...
Oleksandr M. Mokliachuk
doaj +1 more source
Open Mathematics, 2022 In this paper, the stochastic asymptotic behavior of the nonautonomous stochastic higher-order Kirchhoff equation with variable coefficients is studied.
Lv Penghui, Lin Guoguang, Sun Yuting
doaj +1 more source
Fault Diagnosis of Rotating Machinery Based on Adaptive Stochastic Resonance and AMD-EEMD
Shock and Vibration, 2016 An adaptive stochastic resonance and analytical mode decomposition-ensemble empirical mode decomposition (AMD-EEMD) method is proposed for fault diagnosis of rotating machinery in this paper.
Peiming Shi, Cuijiao Su, Dongying Han
doaj +1 more source
Operations Research Perspectives, 2019 We propose herein the application of Benders decomposition with stochastic linear programming instead of the mix integer linear programming (MILP) approach to solve a lot sizing problem under uncertain demand, particularly in the case of a large-scale ...
Aphisak Witthayapraphakorn +1 more
doaj +1 more source
Analysis of the Stochastic Quarter-Five Spot Problem Using Polynomial Chaos
Molecules, 2020 Analysis of fluids in porous media is of great importance in many applications. There are many mathematical models that can be used in the analysis. More realistic models should account for the stochastic variations of the model parameters due to the ...
Hesham AbdelFattah +2 more
doaj +1 more source
On the decomposition of stochastic cellular automata
Journal of Computational Science, 2015 Submitted to Journal of Computation Science, Special Issue on Cellular Automata ...
Witold Bolt +2 more
openaire +3 more sources
SoftwareX, 2023 Stochastic simulations are ubiquitous across scientific disciplines. The Multiphysics Object-Oriented Simulation Environment (MOOSE) includes an optional module – stochastic tools – for implementing stochastic simulations.
Andrew E. Slaughter +7 more
doaj +1 more source
Wind Energy, 2022 Wind power production is driven by, and varies with, the stochastic yet uncontrollable wind and environmental inputs. To compare a wind turbine's performance, a direct comparison on power outputs is always confounded by the stochastic effect of weather ...
Effi Latiffianti +5 more
doaj +1 more source
On Decomposition into Stochastically Independent Components [PDF]
Proceedings of the American Mathematical Society, 1963 If 9V98 denotes the smallest u-field containing 9 and St, we say that decomposition (of 5f relative to 9) holds if 9V98 = i:. In other words, when decomposition holds, every statistical experiment in the class under consideration (every 5Y set) can be expressed as a combination of (is in the o-field generated by) experiments from the designated ...
openaire +1 more source
Stochastic parameterization with dynamic mode decomposition
, 2022 A physical stochastic parameterization is adopted in this work to account for the effects of the unresolved small-scale on the large-scale flow dynamics.
Mémin, Etienne +2 more
core +1 more source