A numerical root-finding method for nonlinear systems of equations.
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Updated
Oct 2, 2020 - Jupyter Notebook
A numerical root-finding method for nonlinear systems of equations.
Generic derivative objects (gradients, Jacobians, Hessians, and more) by finite differences
In this project I explore the bisection method for root finding using python libraries.
Implementation of Roots Finding Methods in Python using Tkinter
Practice with various numerical schemes (Group homeworks, Numerical Algorithms 2023-24 @uva)
Matlab and Octave library for some numerical computations.
These are the algorithms that I created for my MECH 105 class at CSU, utilizing different numerical methods.
Rust Chebyshev Proxy Rootfinder: A robust global rootfinder using adaptive Chebyshev interpolation with automatic subdivision that accurately finds all roots of a smooth function F(x) on [a, b] using the Chebyshev-Frobenius companion matrix.
Parallel Bairstow's Rootfinding Algorithm Python Code
Root Finding using the bisection method. Automatically assigns bounds.
A python package to locate poles and zeros of a meromorphic function with their multiplicities
SUNDIALS: For those starting to learn to use the CVODE package. Also contains examples regarding more complex development with SUNDIALS libraries.
Fast and simple nonlinear solvers for the SciML common interface. Newton, Broyden, Bisection, Falsi, and more rootfinders on a standard interface.
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