The software is an implementation of the enriched subspace iteration method for solving the generalized eigenvalue problems.

Assorted C++-ified LAPACK routines for reference.

Project written in C++ on basic simulations of eigenstates of the Hamiltonian in the One Dimensional Schrödinger Equation for common potential functions

Three C++ projects assigned for the Numerical Methods for Electrical Engineering (EE 242) course in the Spring 2021 semester.

Linear Algebra Step by Step by Kuldeep Singh. Solved step by step through LaTeX

This MATLAB program is designed to calculate eigenvalues and eigenvectors of a square matrix provided by the user. Eigenvalues and eigenvectors are fundamental concepts in linear algebra and have various applications in mathematics, science, and engineering.

Algoritmos de métodos numéricos, se pueden encontrar métodos como búsqueda de raíces, métodos de derivación, integración, métodos para encontrar eigenvalores, etc.

This program is implemented as a project for EE 242 course, and it implements Normalized Power Iteration with Deflation algorithmm to calculate most dominant eigenvalue, its eigenvector and the second most dominant eigenvalue.

A PyGame simulation of the motion over time for an interconnected mass-spring-system with n masses

Fortran 90/95 adaptation of a couple of EISPACK Fortran 77 routines

A library providing modules with easy to use matrix operations for real(8) and complex(8) arrays

This repository contains all the quizzes and assignments required to complete all 3 courses of the Mathematics for Machine Learning Specialization on Coursera

In this project, I've used College/University data to perform Principal Component Analysis and provide its implications to the business

DCGeig is a solver for large, sparse generalized eigenvalue problems with real symmetric positive definite matrices. It computes eigenvalues and eigenvectors and can be used, e.g., for computing eigenfrequencies of finite element models.

ForEig - A Fortran library for eigenvalue and eigenvector calculations.

Computational Linear Algebra - Python

Lanczos program for large sparse Hermitian matrices (Fortran 95 with C99 interface)

A small portable C library with several utility functions.

This repository contains a Python implementation of Principal Component Analysis (PCA) for dimensionality reduction and variance analysis. PCA is a powerful statistical technique used to identify patterns in data by transforming it into a set of orthogonal (uncorrelated) components, ranked by the amount of variance they explain.