Abstract: In this article, we deal with stochastic optimization problems where the data distributions change in response to the decision variables. Traditionally, the study of optimization problems ...
Abstract: This article investigates the distributed optimization problem for nonlinear multiagent systems (MASs) with full-state time-varying constraints and unknown nonidentical control directions ...
Jorge Nocedal can’t stop thinking about optimization. Even when gazing at Lake Michigan or lying in bed, he constantly imagines new approaches to new problems in new areas, like deep learning. “I ...
MATLAB implementation of the ILP-based minimal camera network optimization framework proposed in "Autonomous BIM-Aware UAV Path Planning for Construction Inspection". Includes visibility simulation, ...
An end‑to‑end machine learning pipeline for detecting phishing URLs, built with Python. The project covers data ingestion, validation, transformation, model training, artifact/version management, a… ...
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