Results 41 to 50 of about 147,804 (264)
Applied SciencesThe rapid growth of e-commerce has intensified the need for efficient last-mile delivery, making unmanned aerial vehicles (UAVs) a promising solution. However, despite their potential, practical deployment remains limited by how to effectively plan depot
Xiaojin Zheng +3 more
doaj +1 more source
Design and Implementation of a Stochastic Programming Optimizer with Recourse and Tenders [PDF]
, 1985 This paper serves two purposes, to which we give equal emphasis. First, it describes an optimization system for solving large-scale stochastic linear programs with simple (i.e.
Nazareth, J.L.
core
Finiteness theorems in stochastic integer programming
, 2005 We study Graver test sets for families of linear multi-stage stochastic integer programs with varying number of scenarios. We show that these test sets can be decomposed into finitely many ``building blocks'', independent of the number of scenarios, and ...
Aschenbrenner, Matthias +1 more
core +2 more sources
Advanced Functional Materials, EarlyView.An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
Optimal Operation of an Islanded Hybrid Energy System Integrating Power and Gas Systems
IEEE AccessRemote communities and geographically isolated areas require a secure supply of energy. Isolated hybrid energy systems offer an effective and reliable solution for delivering power to these regions.
Mehrdad Ghahramani +3 more
doaj +1 more source
Parallel Decomposition of Multistage Stochastic Programming Problems [PDF]
, 1988 A new decomposition method for multistage stochastic linear programming problems is proposed by the author. The method combines the ideas of the regularized decomposition method for two-stage programs and dynamic programming.
Ruszczynski, A.
core
Slight Truncation Changes in Iron Oxide Nanocubes Strongly Affect Their Magnetic Properties
Advanced Functional Materials, EarlyView.Subtle variations in nanoparticle morphology can lead to significant changes in functional properties. An automated shape‐fitting method captures minor differences in corner truncation between iron oxide nanocubes of similar sizes synthesized under identical conditions, revealing pronounced disparities in their magnetic and hyperthermia behavior ...
Kingsley Poon +7 more
wiley +1 more source
A primal-dual decomposition based interior point approach to two-stage stochastic linear programming [PDF]
, 1999 Decision making under uncertainty is a challenge faced by many decision makers. Stochastic programming is a major tool developed to deal with optimization with uncertainties that has found applications in, e.g.
Berkelaar, A.B. (Arjan) +3 more
core +2 more sources
, 2016 We consider stochastic influence maximization problems arising in social networks. In contrast to existing studies that involve greedy approximation algorithms with a 63% performance guarantee, our work focuses on solving the problem optimally.
Kucukyavuz, Simge, Wu, Hao-Hsiang
core +1 more source
Advanced Functional Materials, EarlyView.This study presents a new hole transporting material (HTM) mechanism for self‐assembled monolayers in near‐infrared organic photodetectors. The formation of zwitterions induces a strong electric field that significantly increases the work function of HTM‐coated indium tin oxide substrates. The devices exhibit low dark current and noise, along with high
Jiyoung Shin +9 more
wiley +1 more source