Abstract: The optimal power flow (OPF) problem of active distribution network (ADN) is a stochastic, nonconvex, and nonlinear problem. Although several algorithms have been presented to solve this ...

OpenAI and Google DeepMind demonstrated that their foundation models could outperform human coders — and win — showing that large language models (LLMs) can solve complex, previously unsolved ...

This study develops a unified framework for optimal portfolio selection in jump–uncertain stochastic markets, contributing both theoretical foundations and computational insights. We establish the ...

A Matlab implementation of Dynamic Programming Algorithm for stereo matching. It provides vertical smoothness by trying to keep the current path close to the former path using an additional ...

Credit: Getty Images Researchers conducted a retrospective analysis to assess hypoglycemia rates among patients receiving IV insulin through a dynamic dosing algorithm. Glucopilot dynamic dosing ...

Computer science involves much more than writing code. It blends technical knowledge —like programming, algorithms and data systems — with soft skills, such as communication and problem-solving.

Scratch-pad memory (SPM) has been widely used in embedded systems because it allows software-controlled data placement. By designing data placement strategies, optimal solutions with minimal memory ...

Genomics is playing an important role in transforming healthcare. Genetic data, however, is being produced at a rate that far outpaces Moore’s Law. Many efforts have been made to accelerate genomics ...

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jctc.5c00103.

Abstract: This article develops a fully decentralized approximate dynamic programming (FD-ADP) algorithm for stochastic energy management (SEM) of a networked microgrid (NMG) system. First, ...