Learn how to normalize a wave function using numerical integration in Python. This tutorial walks you through step-by-step coding techniques, key functions, and practical examples, helping students ...

Abstract: Analytically solving complex or large-scale differential equations is often difficult or even impossible, making numerical integration methods indispensable. However, as all numerical ...

Available from Computing Services: http://www.cmu.edu/computing/software/all/matlab/download.html You need to be on CMU network or VPN to CMU network to use MATLAB ...

I wanted to add a new tutorial to the documentation. My idea is to compare a physics informed neural network (PINN) to traditional numerical methods (like finite element or finite difference) for ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Introduction: Approximate numerical comparison is often influenced by various non-numerical sensory cues, yet whether they act via uniform inhibition (inhibitory control theory) or cue-weighted ...

Abstract: In electromagnetic transient (EMT) simulations of electrical and electronic circuits, the compact scheme (CS) is one of the numerical integration methods that can suppress numerical ...

ABSTRACT: A system of ordinary differential equations (ODEs) is produced by the semi-discretize method of discretizing the advection diffusion equation (ADE). Runge-Kutta methods of the second and ...

Biophysical modeling serves as a valuable tool for understanding brain function by linking neural dynamics at the cellular level with large-scale brain activity. These models are governed by ...