Topic: "eigenvalues-and-eigenvectors"
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.
Language: Jupyter Notebook - Size: 82.9 MB - Last synced at: 3 days ago - Pushed at: almost 2 years ago - Stars: 537 - Forks: 244

arasgungore/EE242-projects
Three C++ projects assigned for the Numerical Methods for Electrical Engineering (EE 242) course in the Spring 2021 semester.
Language: C++ - Size: 3.27 MB - Last synced at: 2 months ago - Pushed at: almost 3 years ago - Stars: 13 - Forks: 0

bghojogh/Generalized-Eigenvalue-Problem
The code for generalized eigenvalue problem
Language: Python - Size: 16.6 KB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 1

KNAnagnostop/FortranMatrix
A library providing modules with easy to use matrix operations for real(8) and complex(8) arrays
Language: Fortran - Size: 2.31 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 3 - Forks: 0

gha3mi/foreig
ForEig - A Fortran library for eigenvalue and eigenvector calculations.
Language: Fortran - Size: 641 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 1

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.
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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)
Language: Jupyter Notebook - Size: 393 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

venovako/libpvn
A small portable C library with several utility functions.
Language: C - Size: 1.24 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

jaspervrugt/HDMR_EXT
HDMR_EXT: High-Dimensional Model Representation with Extended Bases in MATLAB and Python
Language: MATLAB - Size: 27.4 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

heyjianjing/linear_algebra
Some notes on linear algebra and numerical linear algebra
Language: Jupyter Notebook - Size: 5.03 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

erfanasgari21/Markov_Matrices_Business_Cycle
Course project designed as TA for Linear Algebra, utilizing Markov Chains to model economic dynamics.
Language: Jupyter Notebook - Size: 4.48 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

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.
Language: Python - Size: 35.2 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

i-photon/Toy-Cxx-LAPACK
Assorted C++-ified LAPACK routines for reference.
Language: C++ - Size: 821 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

lanczos-iterator/Lanczos_Iterator
Lanczos program for large sparse Hermitian matrices (Fortran 95 with C99 interface)
Language: Fortran - Size: 58.6 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

tresnjo/n-mass-spring-system
A PyGame simulation of the motion over time for an interconnected mass-spring-system with n masses
Language: Python - Size: 854 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

madisongarccia/MATH215
Computational Linear Algebra - Python
Language: Python - Size: 0 Bytes - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

k-karna/linalg
Linear Algebra Step by Step by Kuldeep Singh. Solved step by step through LaTeX
Language: Jupyter Notebook - Size: 500 KB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

gabriele-inghirami/eigenvectors_of_general_and_real_symmetric_matrices_with_eispack
Fortran 90/95 adaptation of a couple of EISPACK Fortran 77 routines
Language: Fortran - Size: 50.8 KB - Last synced at: 5 days ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

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
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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
Language: Jupyter Notebook - Size: 5.14 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

ktkimit/esubspace
The software is an implementation of the enriched subspace iteration method for solving the generalized eigenvalue problems.
Language: Fortran - Size: 74.2 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

oakati/Eigenvalues-and-Eigenvectors-Calculator
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.
Language: C++ - Size: 4.59 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 1

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.
Language: C - Size: 29.8 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
