Results 41 to 50 of about 31,999 (310)

Discrete-Time Retrial Queuing Systems with Last-Come-First-Served (LCFS) and First-Come-First-Served (FCFS) Disciplines: Negative Customer Impact and Stochastic Analysis

open access: yesMathematics
This paper examines a discrete-time retrial queuing system that incorporates negative customers, system breakdowns, and repairs. In this model, an arriving customer has the option to go directly to the server, pushing the currently served customer, if ...
Iván Atencia-Mckillop   +3 more
doaj   +1 more source

Heavy Tail and Long-Range Dependence for Skewed Time Series Prediction Based on a Fractional Weibull Process

open access: yesFractal and Fractional, 2023
In this paper, a fractional Weibull process is utilized in a predictive stochastic differential equation model to allow for skewness and heavy-tailed characteristics.
Wanqing Song, Dongdong Chen, Enrico Zio
doaj   +1 more source

Hyperbolic Cross Truncations for Stochastic Fourier Cosine Series

open access: yesThe Scientific World Journal, 2014
Based on our decomposition of stochastic processes and our asymptotic representations of Fourier cosine coefficients, we deduce an asymptotic formula of approximation errors of hyperbolic cross truncations for bivariate stochastic Fourier cosine series ...
Zhihua Zhang
doaj   +1 more source

A stochastic algorithm for the ParaTuck decomposition

open access: yesDigital Signal Processing
This paper introduces a novel stochastic algorithm for the ParaTuck Decomposition (PTD), addressing the challenge of local minima encountered in the traditional alternating least squares (ALS) approach. The proposed method integrates stochastic steps into the ALS framework to avoid the common swamp problems, where numerical difficulties prevent ...
Yassine Zniyed, André L. F. de Almeida
openaire   +2 more sources

An effective hybrid decomposition approach to solve the network-constrained stochastic unit commitment problem in large-scale power systems

open access: yesEURO Journal on Computational Optimization
We propose a novel hybrid method to solve the network-constrained stochastic unit commitment problem. We target realistic large-scale instances including hundreds of thermal generation units, thousands of transmission lines and nodes, and a large number ...
Ricardo M. Lima   +3 more
doaj   +1 more source

A decomposition-based warm-start method for stochastic programming

open access: yes, 2013
In this paper we propose a warm-start technique for interior point methods applicable to multi-stage stochastic linear programming problems. The main idea is to generate an initial point by decomposing the problem at the second stage and using an ...
Colombo, Marco   +3 more
core   +1 more source

Intermediate Resistive State in Wafer‐Scale Vertical MoS2 Memristors Through Lateral Silver Filament Growth for Artificial Synapse Applications

open access: yesAdvanced Functional Materials, EarlyView.
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa   +19 more
wiley   +1 more source

Lack of strong completeness for stochastic flows [PDF]

open access: yes, 2011
It is well known that a stochastic differential equation (SDE) on a Euclidean space driven by a Brownian motion with Lipschitz coefficients generates a stochastic flow of homeomorphisms.
Li, X-M   +5 more
core   +1 more source

3D Printing Innovations in Polymeric Porous and Patterned Architecture

open access: yesAdvanced Functional Materials, EarlyView.
Polymeric foams occupy a unique structural space between dense solids and open networks, where engineered void fraction governs mechanical compliance, thermal resistance, and mass transport. Additive manufacturing now enables precise spatial control over cellular architecture, unlocking designer foam structures across applications spanning crash ...
Dhanush Patil   +13 more
wiley   +1 more source

Solving stochastic hydro unit commitment using benders decomposition and modified stochastic dual dynamic programming

open access: yesFrontiers in Energy Research, 2022
This paper proposes a stochastic hydro unit commitment (SHUC) model for a price-taker hydropower producer in a liberalized market. The objective is to maximize the total revenue of the hydropower producer, including the immediate revenue, future revenue (
Zhuangzhuang Li   +5 more
doaj   +1 more source

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