A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
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Updated
Mar 14, 2023
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
Find all roots of a function in a guaranteed way with Julia
Numerical Analysis code from the Oscar Veliz YouTube Channel
Fatou sets in Julia (Fractals, Newton basins, Mandelbrot)
Reverse engineering, getting root access to Tenda MW6 wifi mesh router
A simple cross platform .NET API for Intel MKL
A modern c++ root finding algorithm based on the original Jenkins-Traub RPOLY software.
Examples and demos showing how to call functions from the NAG Library for Python
Fast complex polynomial root finder, with support for arbitrary precision calculations
Root-Finder is a header-only univariate polynomial solver, which finds/counts all real roots of any polynomial within any interval.
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.
Modern Fortran implementation of the DDEABM Adams-Bashforth algorithm
Root repo - A database for android root methods
A modern Fortran library for finding the roots of continuous scalar functions of a single real variable, using derivative-free methods.
Qt application to visualize newton fractals
Python wrapper of Minpack (root finding) which can be called from within numba functions.
Julia implementation of the global complex root and pole finding (GRPF) algorithm.
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