Abstract: Model Predictive Control is a powerful technique for dynamic optimization in various industrial applications. In many such control applications, some variables are binary in nature, i.e., ...

QUANTUM_OPTIMIZATION_BENCHMARKS/ - Market_Share/: Market share optimization problem - market_share_classical_results.ipynb: Classical results for the Market Share problem - market_share.ipynb: Code ...

This project solves the classic Assignment Problem using the Hungarian Algorithm (a.k.a. Munkres algorithm), which is designed to minimize the total cost of assigning agents (e.g., employees, machines ...

This paper addresses the challenge of covering three-dimensional solids with spheres of varying radii, allowing for partial overlaps, which is particularly relevant for applications such as gamma ...

Abstract: Prediction and management of ship resistance in realistic sea conditions can play a significant role in reducing fuel consumption and carbon emissions. It usually relies on physical model ...

Everyone has an area to improve upon, whether that's getting a better job, focusing on healthier habits or completing a college degree. But it can be easy to get thrown off course as you try to ...