In this work, we address a question that has attracted intense interest in recent years: whether machine learning-assisted algorithms can genuinely outperform classical approaches in challenging ...

4 Null-Space Projection for Motion Control Will not run on Colab 5 Quadratic Programming for Motion Control Will not run on Colab Manipulator kinematics is concerned with the motion of each link ...

Chaotic maps have gained significant attention in image encryption systems due to their intrinsic features, including sensitive dependence on initial conditions, non-linear dynamics, high entropy, and ...

LCQPow is a open-source solver for Quadratic Programs with Complementarity Constraints. The approach is based on a standard penalty homotopy reformulated using sequential convex programming. The ...

The peptide-protein docking problem is an important problem in structural biology that facilitates rational and efficient drug design. In this work, we explore modeling and solving this problem with ...

We introduce an open-source Python package for the analysis of large-scale electrophysiological data, named SyNCoPy, which stands for Systems Neuroscience Computing in Python. The package includes ...

1 College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China. 2 Shenyang Aircraft Design Institute, AVIC, Shenyang, China. The paper establishes a ...

The German historian Oswald Spengler considered our age the age of abstraction. Nowhere is this more apparent than in programming, where abstraction isn’t just a conceptual convenience but an absolute ...

Abstract: This paper investigates the optimal operation problem for distribution networks with the integration of distributed generation (DG). By considering the objectives of minimal line loss, ...

Physics-Informed Neural Networks (PINN) emerged as a powerful tool for solving scientific computing problems, ranging from the solution of Partial Differential Equations to data assimilation tasks.