Abstract: This letter addresses the quadratic equality constrained least squares (QEC-LS) problem, a class of non-convex optimization problems that arise in various signal processing and communication ...

Develop optimal solutions to a scheduling problem by modelling it as a Constraint Satisfaction Problem (CSP), a method used widely in the field of Artificial Intelligence. I've open-sourced Delegator ...

🚀 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 ...

Abstract: This article investigates the distributed convex optimization problem where dimension of the feasible set is fluctuated. To address this, we formulate an open consensus algorithm that ...