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Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
This Repository contains Solutions to the Quizes & Lab Assignments of the Mathematics for Machine Learning Specialization offered by Imperial College of London on Coursera taught by David Dye, Samuel J. Cooper, A. Freddie Page, Marc Peter Deisenroth
Autodiff is a numerical library for the Go programming language that supports automatic differentiation. It implements routines for linear algebra (vector/matrix operations), numerical optimization and statistics
Numerical analysis course in Python
A parallelized implementation of Principal Component Analysis (PCA) using Singular Value Decomposition (SVD) in OpenMP for C. The procedure used is Modified Gram Schmidt algorithm. The method for Classical Gram Schmidt is also available for use.
This repository contains topics and codes related to Machine Learning and Data Science, especially in Python
📶 Digital Communication (ELC325B) Assignments Solutions
📶 Digital Communication (ELC325B) Assignments Solutions
matrix decomposition from scratch for matrix analysis and analysis course capstone of ucas
Assignments solutions for the Digital Communication Course taught at Cairo University. (Requirements document included for each assignment)
Collection of step-by-step programming exercises to introduce students to the applications of linear algebra.
A series of MATLAB functions for performing Gram Schmidt and other vector operations. Also produces 3D plots.
Compilation of the assignments of the course of COL726: Numerical Algorithms (Spring 2021) and their solutions
a collection of numerical methods written in python language.
Gram-Schmidt Algorithm calculator. Useful for many linear algebra applications. It features a GUI allowing for convenient and easy usage.
Implementation of Laplace expansion(solves for determinant/inverse), Gram-Schmidt, and QR algorithms with a Swing calculator
Implementations and analyses of various mathematical and computational techniques, including Lagrange interpolation, LU decomposition, image compression with SVD and FFT, image denoising, histogram matching, and QR decomposition using Gram-Schmidt methods.
Three algorithms (classical GS, modified GS, and Householder) for QR factorisation written in Julia. Included is a standard backsubstitution algorithm also for Julia.
Main goal of the project is to create aa application GUI to represent the LLL lattice reduction algorithm. GUI createdin Net beans ide 8.2. Project language level 13
An implementation of Gram-Schmidt process running on GPU.
OpenACC GPU parallelization for various numerical methods and miscellaneous problems using FORTRAN
Matrix library (Linear Algebra)
Numerical Methods for Ill-Conditioned Matrices - A project with Hilbert Matrix
Homeworks for the Numerical Methods course @ ACS, UPB 2018
To execute the code, ensure these files are saved in the same directory. Then, compile the file SU3_2.c and run it to observe the result.
Gram-Schmidt vs. modified Gram-Schmidt vs. Householder-based QR factorization vs. Givens-based QR factorization / UW 2024W NHPA
My master's internship report on "Optimization of eigensolvers with GPU"
Some notes on linear algebra and numerical linear algebra
Computational Linear Algebra - Python
This repository contains implementations of common numerical algorithms using MATLAB.
Linear Algebra project from TripleTen