eigenvalues-and-eigenvectors - 技术专题

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.

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

The code for generalized eigenvalue problem

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

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)

This is official github repo for CVPR2026 Main Track paper "ERMoE: Eigen-Reparameterized Mixture-of-Experts for Stable Routing and Interpretable Specialization"

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

Polynomial filtering eigensolver and Hamiltonian tools for quantum many-body simulations in Julia.

ForEig - A Fortran library for eigenvalue and eigenvector calculations.

Visualize linear algebra concepts.

Statistical Pattern Recognition: PCA and Bayesian Classifiers

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

Numerical solution of the time-independent Schrödinger equation using finite difference methods in Python. Active computational physics project.

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

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

HDMR_EXT: High-Dimensional Model Representation with Extended Bases in MATLAB and Python

Course project designed as TA for Linear Algebra, utilizing Markov Chains to model economic dynamics.

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

I developed a mathematical and computational model to analyze the long-term viability of Silverleaf sunflowers (Helianthus argophyllus), a rare perennial species facing population decline, using Lefkovitch age-structured matrices & golden-ratio seed density estimation.