4 BREVI LEZIONI DI PYTHON, corso tenuto con con l'associazione italiana studenti di fisica, comitato locale di Pisa

Math workspace and libraries for Dyalog APL

Official Code for "EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting (ICCV 2023)"

R package for multi-companion matrices with methods for generation of models with given spectral properties

Signal space decomposition in MATLAB (MUSIC, Pisarenko, EV, Minimum Norm)

Fast superresolution frequency detection using MUSIC algorithm

Introduction to Data Science, Probability, Statistics & Mathematics. This folder Learn the fundamentals of Python, NumPy, Pandas, and SQL for analyzing data. Draw conclusions from data with probability, descriptive and inferential statistics, and mathematics such as calculus and algebra. Data Visualization to create interactive dashboards.

Following is an programming assignment on dimensionality reduction and Image Compression using Eigen Value Decomposition and Singular Value Decomposition

Compilation of the assignments of the course of COL726: Numerical Algorithms (Spring 2021) and their solutions

I have implemented this program from scratch to get better understanding of basics of PCA and mathematics behind this algorithm.

Elementary algorithm for face recognition using PCA

How does PCA work?

JED is a program for performing Essential Dynamics of protein trajectories written in Java. JED is a powerful tool for examining the dynamics of proteins from trajectories derived from MD or Geometric simulations. Currently, there are two types of PCA: distance-pair and Cartesian, and three models: COV, CORR, and PCORR.

Toy Example of Source Sepration of two Notes using Eigen Decomposition

Sparse Matrix and Linear Algebra in Javascript

Sparse-matrix implementation on linear algebra and matrix operations