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

Fast superresolution frequency detection using MUSIC algorithm

Math workspace and libraries for Dyalog APL

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

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

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.

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.

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

How does PCA work?

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

Sparse-matrix implementation on linear algebra and matrix operations

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

Toy Example of Source Sepration of two Notes using Eigen Decomposition

Elementary algorithm for face recognition using PCA

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

Sparse Matrix and Linear Algebra in Javascript