diagonalization

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the most 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.

a short, simple public-domain header-only C++ library for calculating eigenvalues and eigenvectors of real symmetric matrices

A simple algorithm that finds a simultaneous block diagonalization of multiple matrices through the eigendecomposition of a single matrix.

ParaDiag includes diagonalization-based Parallel-in-Time (PinT) algorithms, which can handle both both dissipative and hyperbolic equations.

Finding the finest simultaneous block diagonalization of multiple matrices by sequentially exploring invariant subspaces under matrix multiplications. Applications include the efficient analysis of arbitrary synchronization patterns in complex networks.

Port form svn repo of DiagHam from http://www.nick-ux.org/diagham/

complexarith is an attempt to model the complex field arithmetic in Java to be used in mathematical developments.

Simple code to obtain the dispersion curve and z component of spin-spin correlation for a 1D Tight Binding model.

Example code to try to run armadillo diagonalization in parallel

Find a few eigenpairs of a matrix using the Davidson-Liu algorithm

This gives steady state Network Flow from the given Pref-Defined Network Flow of a System. And a Python implementation of Larry Page's famous PageRank algorithm.