Abstract: This letter presents a novel finite- and fixed-time convergent framework for solving constrained convex optimization problems using safe gradient flow dynamics. In the existing literature, ...
Light can be sculpted into countless shapes. Yet building optical devices that can simultaneously manipulate many different ...
The challenge of resource allocation for UAV swarms in dynamic and uncertain electromagnetic environments has been investigated for years. In a recent breakthrough published in the Chinese Journal of ...
Abstract: Distributed weakly convex optimization is a significant class of problems in signal and information processing, with wide-ranging applications such as sparse dictionary learning, low-rank ...
Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
Stay ahead of the SEO and AI game with these 2026 Enterprise SEO trends. Discover what's new and how to adapt your marketing for future success. Enterprise SEO is at the center of some fascinating and ...
In production engineering, the identification of optimal process parameters is essential to advance product quality and overall equipment effectiveness. Optimizing and adapting process parameters ...
Particle swarm optimization algorithm (PSO) for a minimization problem. In this project, nonlinear constraints are implemented as infeasible solutions. This project is using C++23 features.
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