Results 21 to 30 of about 947,067 (264)

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

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

The stratified p-center problem [PDF]

open access: yes, 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   +2 more
core   +3 more sources

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

open access: yesIEEE 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   +2 more
doaj   +1 more source

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

open access: yesMathematics, 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and volatility of renewable energy sources such as wind energy, the traditional thermal unit commitment (UC) model is no longer applicable.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

open access: yes, 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   +2 more
openaire   +2 more sources

A Continuation Multilevel Monte Carlo algorithm [PDF]

open access: yes, 2014
We propose a novel Continuation Multi Level Monte Carlo (CMLMC) algorithm for weak approximation of stochastic models. The CMLMC algorithm solves the given approximation problem for a sequence of decreasing tolerances, ending when the required error ...
Collier, Nathan   +4 more
core   +1 more source

Approximation of multidimensional stochastic processes from average sampling [PDF]

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

Setting the optimal limit value of motor insurance coverage by stochastic optimization [PDF]

open access: yes, 2018
In this paper, we provide an alternative to a passive approach to the selection of insurance products or policy con-ditions. Specifically, we propose a method to make a decision about the optimal limit value for motor insurance coverage.
Hanelová, Lucie, Valecký, Jiří
core   +1 more source

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

open access: yesJournal 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]

open access: yesمجله 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

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