Abstract: This letter proposes a distributed model predictive control (DMPC) method for multi-agent systems with smooth nonlinear dynamics and constraints, including pairwise distance constraints for ...
PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's derivative-free optimization methods, i.e., ...
Abstract: This paper presents a nonlinear model predictive control (MPC) architecture for low-head contra-rotating reversible pump-turbines (CR RPTs) in turbine mode. The developed MPC is compared ...
🚀 An end-to-end quantitative portfolio optimization & stock intelligence tool built with Python & Streamlit. Analyze NSE, BSE & NYSE stocks with predictions, portfolio optimization, risk metrics, and ...
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RMSProp optimization from scratch in Python
Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks efficiently. #RMSProp #Optimization #DeepLearning Denmark facing "decisive moment" ...
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