Dot Physics on MSN

How to normalize a wave function using numerical integration in Python

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 ...
Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
The Manila Times

Mr.Chongwei Shi Enhances Genomic Analysis Through Signal Processing and Machine Learning Integration for Gene Identification

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...
IEEE

Inverse Design Method of Metal Structures in Multiport Waveguide Based on Numerical Green’s Function

Abstract: This article proposes an inverse design method based on numerical Green’s function (NGF-IDM) to achieve the intelligent and efficient design of waveguide devices. Inspired by the metal ...
Hosted on MSN

Numerical Differentiation Made Simple With Python

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 ...
TheServerSide

Create your first Python AWS Lambda function in minutes

Community driven content discussing all aspects of software development from DevOps to design patterns. Ready to develop your first AWS Lambda function in Python? It really couldn’t be easier. The AWS ...
The Verge

Microsoft Excel adds Copilot AI to help fill in spreadsheet cells

The new ‘COPILOT’ function uses AI to generate summaries, tags, tables, and more based on a group of cells. The new ‘COPILOT’ function uses AI to generate summaries, tags, tables, and more based on a ...
Scientific Research Publishing

Sarra, S.A. and Kansa, E.J. (2009) Multiquadric Radial Basis Function Approximation Methods for the Numerical Solution of Partial Differential Equations. Advances in ...

ABSTRACT: Radial Basis Function methods for scattered data interpolation and for the numerical solution of PDEs were originally implemented in a global manner. Subsequently, it was realized that the ...