Results 1 to 10 of about 31,999 (310)

Stochastic Gradients for Large-Scale Tensor Decomposition

SIAM Journal on Mathematics of Data Science, 2020
Tensor decomposition is a well-known tool for multiway data analysis. This work proposes using stochastic gradients for efficient generalized canonical polyadic (GCP) tensor decomposition of large-scale tensors. GCP tensor decomposition is a recently proposed version of tensor decomposition that allows for a variety of loss functions such as Bernoulli ...
Tamara G Kolda, David Hong
exaly   +4 more sources

On the single-server retrial queue [PDF]

Yugoslav Journal of Operations Research, 2006
In this work, we review the stochastic decomposition for the number of customers in M/G/1 retrial queues with reliable server and server subjected to breakdowns which has been the subject of investigation in the literature.
Djellab Natalia V.
doaj   +1 more source

Fault Diagnosis Using Cascaded Adaptive Second-Order Tristable Stochastic Resonance and Empirical Mode Decomposition

Applied Sciences, 2021
Aiming at the problems of poor decomposition quality and the extraction effect of a weak signal with strong noise by empirical mode decomposition (EMD), a novel fault diagnosis method based on cascaded adaptive second-order tristable stochastic resonance
Hongjiang Cui, Ying Guan, Wu Deng
doaj   +1 more source

A Lévy-Driven Stochastic Queueing System with Server Breakdowns and Vacations

Mathematics, 2020
Motivated by modelling the data transmission in computer communication networks, we study a Lévy-driven stochastic fluid queueing system where the server may subject to breakdowns and repairs.
Yi Peng, Jinbiao Wu
doaj   +1 more source

Hopf bifurcation of nonlinear system with multisource stochastic factors

Theoretical and Applied Mechanics Letters, 2023
The article mainly explores the Hopf bifurcation of a kind of nonlinear system with Gaussian white noise excitation and bounded random parameter. Firstly, the nonlinear system with multisource stochastic factors is reduced to an equivalent deterministic ...
Xinyu Bai, Shaojuan Ma, Qianling Zhang, Qiyi Liu   +3 more
doaj   +1 more source

Model Decomposition and Stochastic Fragments [PDF]

Electronic Notes in Theoretical Computer Science, 2012
In this paper, we discuss a method for decomposition, abstraction and reconstruction of the stochastic semantics of rule-based systems with conserved number of agents. Abstraction is induced by counting fragments instead of the species, which are the standard entities of information in molecular signaling. The rule-set can be decomposed to smaller rule-
Petrov T., Ganguly A., Koeppl H.
openaire   +3 more sources

Two Stage Stochastic Programing Based on the Sample Average Approximation and Accelerated Benders Decomposition for Designing Closed-loop Supply Chain Network Design under Uncertainty [PDF]

مجله مدل سازی در مهندسی, 2017
In this paper, a comprehensive mathematical model for designing supply chain network via considering integrated flow of forward and reverse of multiple products during multiple periods is proposed.
Aliakbar Hasani
doaj   +1 more source

Maximizing Profit Using Benders Decomposition in Two-Stage Stochastic Water Distribution Network

Chemical Engineering Transactions, 2022
Profit is the primary intention that drives any industry. It is essential to incorporate the demand uncertainty in the water distribution industry to ensure maximum profit.
Raghav Bharadwaj, Nitin Dutt Chaturvedi
doaj   +1 more source

Some Probability Characteristics of the Solution of Stochastic Fredholm Integral Equation Contains a Joint Gamma Process [PDF]

Engineering and Technology Journal, 2014
In this paper, some probability characteristics functions (probability density and spectral density) are derived depending upon the smallest variance of the stochastic solution of supposing stochastic linear Fredholm integral equation of the second kind ...
Mohammad W. Muflih, Shaymaa M. Shraida, Wafaa F. Mansoor   +2 more
doaj   +1 more source

Martingale Decomposition and Backward Stochastic Dynamic Equations on Time Scales

Journal of Mathematics, 2022
The paper aims to establish the related backward stochastic dynamic equations on time scales, BS ∇ Es for short, concerning to ∇-integral on time scales.
Guofeng Tang, Guangyan Jia
doaj   +1 more source