linear-systems

A Julia Basket of Hand-Picked Krylov Methods

SCIRun is a Problem Solving Environment, for modeling, simulation and visualization of scientific problems. This is version 5, the upgraded version of SCIRun v4.

Numerical computation in native Haskell

Structured Matrix Package (LBNL)

Matlab implementation to simulate the non-linear dynamics of a fixed-wing unmanned areal glider. Includes tools to calculate aerodynamic coefficients using a vortex lattice method implementation, and to extract longitudinal and lateral linear systems around the trimmed gliding state.

A free LDL factorisation routine

Numerical methods implementation in Python 3.

A linear algebra library for JavaScript 🔢

Measure the distance between two spectra/signals using optimal transport and related metrics

Learn mathematics behind machine learning and explore different mathematics in machine learning.

Nengo library of additional extensions

Solve matrix equations in python.

Julia package for representing linear, time-invariant system models and operations defined on them.

Repositorio del curso INFO183: Análisis de sistemas lineales, Instituto de Informática, UACh

A Python toolbox for pentadiagonal linear systems

Numerical methods implementation in MATLAB.

Implementation of Jacobi method, Conjugate Gradient method using CUDA API.

Gaussian belief propagation solver for noisy linear systems with real coefficients and variables.

A C++/Python library for incomplete LU factorizations based on Jan Mayer's ILU++

Python module for working with interval values and interval systems

This is the source code for my paper titled, "A New Fast Algorithm to Estimate Real-Time Phasors Using Adaptive Signal Processing", published in IEEE Trans. Power Delivery journal, Link :

Implementation for different numerical algorithms

In this paper, we will be evaluating numerical methods for direct and iterative solvers of linear systems. From class we have discussed the various methods; Gauss elimination with pivoting techniques, Jacobi Iterative Method, Gauss-Seidel Iterative Method, Successive Over-Relaxation Method, Iterative Refinement Method, and Conjugate Gradient Method. In this paper, using Python programming language, we will discuss how each method evaluates various linear systems of equations, and then we will discuss the complexity, accuracy, and stability of each method

MATLAB Live demonstrations of Signals and Systems concepts. Originally created for in-class demonstration. Feel free to use them in your teaching and/or study.

Controlled Invariant Sets in Two Moves

Educational linear algebra environment powered by the Web.

Gaussian belief propagation solver for linear systems with real coefficients and variables.

Implementation of numerical analysis algorithms in python & M (octave/matlab).