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MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
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)
Qt application to visualize newton fractals
PyTorch implementation of the Hessian-free optimizer
A library that provides routines to compute the solutions to systems of nonlinear equations.
This repository aim to provide with an easy-to-use library to solve non-linear systems of 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++.
Index of different Optimization Methods
Implementation of nonlinear Optimization Algorithms in Python
Pyhton algorithm for numerical simulation of heterostructure devices
We use Newton-Raphson method to find zeroes of an equation.
This repo collects results of nonlinear optimization solvers on standard benchmark problems
Some Numerical Analysis algorithms implemented in Python.
Tutorials and exercises for learning to use FEniCS [Website under construction]
A framework for multivariate functions together with constructors for schumaker splines, OLS, Chebyshev, MARS splines for approximation.
Newton’s second-order optimization methods in python
Orbit Simulator
Newton's method for finding the root of a differentiable, multivariate, vector-valued function.
Code for symbolic validations of the PEP-based proofs for the article " Worst-case convergence analysis of gradient and Newton methods through semidefinite programming performance estimation" authored by E. de Klerk, F. Glineur and A. Taylor
Numerical Optimization library implementing Gradient Descent and Newton's method using backtracking line search for finding the minimum.
Collection of methods for numerical analysis and scientific computing, including numerical root-finders, numerical integration, linear algebra, and data visualization. Created for APPM4600 at CU Boulder.
Second-order iterated smoothing algorithms for state estimation
First project for DisCont Mathematics 2 @ FER
Repository for my Nonlinear Dynamics files
Repository for machine learning problems implemented in python
Levenberg-Marquardt Method is studied for finding the model parameters.