Results 21 to 30 of about 952,480 (282)

Landauer-B\"uttiker and Thouless conductance [PDF]

, 2014
In the independent electron approximation, the average (energy/charge/entropy) current flowing through a finite sample S connected to two electronic reservoirs can be computed by scattering theoretic arguments which lead to the famous Landauer-B\"uttiker
Bruneau, Laurent, Jaksic, Vojkan, Last, Yoram, Pillet, Claude-Alain   +3 more
core   +2 more sources

On the unconstrained optimization reformulations for a class of stochastic vector variational inequality problems

Journal of Inequalities and Applications, 2023
In this paper, a class of stochastic vector variational inequality (SVVI) problems are considered. By employing the idea of a D-gap function, the SVVI problem is reformulated as a deterministic model, which is an unconstrained expected residual ...
Dan-dan Dong, Guo-ji Tang, Hui-ming Qiu
doaj   +1 more source

Stochastic Nash equilibrium problems: sample average approximation and applications [PDF]

Computational Optimization and Applications, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xu, Huifu, Zhang, Dali
openaire   +4 more sources

A Density-Based Offloading Strategy for IoT Devices in Edge Computing Systems

IEEE Access, 2018
Collaboration spaces formed from edge servers can efficiently improve the quality of experience of service subscribers. In this paper, we first utilize a strategy based on the density of Internet of Things (IoT) devices and k-means algorithm to partition
Cheng Zhang, Hailiang Zhao, Shuiguang Deng   +2 more
doaj   +1 more source

Mixed-Integer Conic Formulation of Unit Commitment with Stochastic Wind Power

Mathematics, 2023
Due to the high randomness and volatility of renewable energy sources such as wind energy, the traditional thermal unit commitment (UC) model is no longer applicable.
Haiyan Zheng, Liying Huang, Ran Quan
doaj   +1 more source

Sample Average Approximation for Black-Box VI

, 2023
We present a novel approach for black-box VI that bypasses the difficulties of stochastic gradient ascent, including the task of selecting step-sizes. Our approach involves using a sequence of sample average approximation (SAA) problems. SAA approximates the solution of stochastic optimization problems by transforming them into deterministic ones.
Burroni, Javier, Domke, Justin, Sheldon, Daniel   +2 more
openaire   +2 more sources

The stratified p-center problem [PDF]

, 2018
This work presents an extension of the p-center problem. In this new model, called Stratified p-Center Problem (SpCP), the demand is concentrated in a set of sites and the population of these sites is divided into different strata depending on the kind ...
Albareda-Sambola, Maria, Merino, Luisa I. Martínez, Rodríguez-Chía, Antonio M.   +2 more
core   +3 more sources

Approximation of multidimensional stochastic processes from average sampling [PDF]

Journal of Inequalities and Applications, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

A Nonlinear Lagrange Algorithm for Stochastic Minimax Problems Based on Sample Average Approximation Method

Journal of Applied Mathematics, 2014
An implementable nonlinear Lagrange algorithm for stochastic minimax problems is presented based on sample average approximation method in this paper, in which the second step minimizes a nonlinear Lagrange function with sample average approximation ...
Suxiang He, Yunyun Nie, Xiaopeng Wang
doaj   +1 more source

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