MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
-
Updated
May 11, 2023 - MATLAB
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
C and Python examples from my book on using PETSc and Firedrake to solve PDEs
MATLAB implementations of a variety of nonlinear programming algorithms.
Numerical Analysis code from the Oscar Veliz YouTube Channel
Fatou sets in Julia (Fractals, Newton basins, Mandelbrot)
PyTorch implementation of the Hessian-free optimizer
Qt application to visualize newton fractals
This repository aim to provide with an easy-to-use library to solve non-linear systems of equations.
A library that provides routines to compute the solutions to systems of nonlinear equations.
Numerical analysis course in Python
A 1D heat conduction solver using Finite Difference Method and implicit backward Euler time scheme
Implementation of well-known numerical methods.
Utilizing root-finding methods such as Bisection Method, Fixed-Point Method, Secant Method, and Newton's Method to solve for the roots of functions
Numerical optimization library in C++.
This is a Numerical Analysis course project, implementing numerical analysis methods.
Implementation of nonlinear Optimization Algorithms in Python
Tutorials and exercises for learning to use FEniCS [Website under construction]
Index of different Optimization Methods
This repo collects results of nonlinear optimization solvers on standard benchmark problems
Add a description, image, and links to the newtons-method topic page so that developers can more easily learn about it.
To associate your repository with the newtons-method topic, visit your repo's landing page and select "manage topics."