eigenvalues-and-eigenvectors
There are 25 repositories under eigenvalues-and-eigenvectors topic.
Ryota-Kawamura/Mathematics-for-Machine-Learning-and-Data-Science-Specialization
Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.
arasgungore/EE242-projects
Three C++ projects assigned for the Numerical Methods for Electrical Engineering (EE 242) course in the Spring 2021 semester.
bghojogh/Generalized-Eigenvalue-Problem
The code for generalized eigenvalue problem
KNAnagnostop/FortranMatrix
A library providing modules with easy to use matrix operations for real(8) and complex(8) arrays
PeterSchuld/ICL-Mathematics-for-Machine-Learning
Imperial College London »Mathematics for Machine Learning«. A sequence of 3 courses on the prerequisite mathematics for applications in data science and machine learning. (1) Linear Algebra (2) Multivariate Calculus and (3) Principal Component Analysis (completed Sept. 10th, 2018)
gha3mi/foreig
ForEig - A Fortran library for eigenvalue and eigenvector calculations.
arezyhs/eigenvalue-vector-matlab-and-python
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.
k-karna/linalg
Linear Algebra Step by Step by Kuldeep Singh. Solved step by step through LaTeX
christoph-conrads/DCGeig
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.
gabriele-inghirami/eigenvectors_of_general_and_real_symmetric_matrices_with_eispack
Fortran 90/95 adaptation of a couple of EISPACK Fortran 77 routines
Giovanny-Encinia/Metodos_numericos
Algoritmos de métodos numéricos, se pueden encontrar métodos como búsqueda de raíces, métodos de derivación, integración, métodos para encontrar eigenvalores, etc.
heyjianjing/linear_algebra
Some notes on linear algebra and numerical linear algebra
jaspervrugt/HDMR_EXT
HDMR_EXT: High-Dimensional Model Representation with Extended Bases in MATLAB and Python
ktkimit/esubspace
The software is an implementation of the enriched subspace iteration method for solving the generalized eigenvalue problems.
lanczos-iterator/Lanczos_Iterator
Lanczos program for large sparse Hermitian matrices (Fortran 95 with C99 interface)
madisongarccia/MATH215
Computational Linear Algebra - Python
Matthew-Oj/Eigenanalysis-Two-Story-Structure
CIVI0008 MATLAB script finding Eigenvalues and Eigenvectors of a two-story structure
R-Van-Laer/One-Dimensional-Schrodinger-Equation
Project written in C++ on basic simulations of eigenstates of the Hamiltonian in the One Dimensional Schrödinger Equation for common potential functions
S-CHAN11/Principal-Component-Analysis
In this project, I've used College/University data to perform Principal Component Analysis and provide its implications to the business
tresnjo/n-mass-spring-system
A PyGame simulation of the motion over time for an interconnected mass-spring-system with n masses
erfanasgari21/Markov_Matrices_Business_Cycle
Course project designed as TA for Linear Algebra, utilizing Markov Chains to model economic dynamics.
nikhil-1e9/Mathematics-for-Machine-Learning-Specialization
This repository contains all the quizzes and assignments required to complete all 3 courses of the Mathematics for Machine Learning Specialization on Coursera
SCUS3/Principal-Component-Analysis-PCA-Implementation
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.
venovako/libpvn
A small portable C library with several utility functions.