A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

Root finding functions for Julia

A simple cross platform .NET API for Intel MKL

Numerical Analysis code from the Oscar Veliz YouTube Channel

Find all roots of a function in a guaranteed way with Julia

Reverse engineering, getting root access to Tenda MW6 wifi mesh router

Fatou sets in Julia (Fractals, Newton basins, Mandelbrot)

Fixed and variable-step Runge-Kutta solvers in Modern Fortran

Examples and demos showing how to call functions from the NAG Library for Python

A modern c++ root finding algorithm based on the original Jenkins-Traub RPOLY software.

Fast complex polynomial root finder, with support for arbitrary precision calculations

Solve symbolically defined systems of non-linear equations numerically.

Slides/notes and Jupyter notebook demos for an introductory course of numerical analysis/scientific computing

Root-Finder is a header-only univariate polynomial solver, which finds/counts all real roots of any polynomial within any interval.

Classification of John Burkardt's many Fortran 90 codes

Root repo - A database for android root methods

Root-Finder is a header-only univariate polynomial solver, which finds/counts all real roots of any polynomial within any interval.

A modern Fortran library for finding the roots of continuous scalar functions of a single real variable, using derivative-free methods.

Modern Fortran implementation of the DDEABM Adams-Bashforth algorithm

Python wrapper of Minpack (root finding) which can be called from within numba functions.