newtons-method
There are 154 repositories under newtons-method topic.
hiroyuki-kasai/SGDLibrary
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
bueler/p4pdes
C and Python examples from my book on using PETSc and Firedrake to solve PDEs
clarkzinzow/Nonlinear-Optimization-Algorithms
MATLAB implementations of a variety of nonlinear programming algorithms.
osveliz/numerical-veliz
Numerical Analysis code from the Oscar Veliz YouTube Channel
chakravala/Fatou.jl
Fatou sets in Julia (Fractals, Newton basins, Mandelbrot)
ltatzel/PyTorchHessianFree
PyTorch implementation of the Hessian-free optimizer
jchristopherson/nonlin
A library that provides routines to compute the solutions to systems of nonlinear equations.
chrizbee/NewtonFractal
Qt application to visualize newton fractals
EduardBargues/NonLinearEquationsSolver
This repository aim to provide with an easy-to-use library to solve non-linear systems of equations.
petermchale/math105A
Numerical analysis course in Python
rickfu415/heatConduction
A 1D heat conduction solver using Finite Difference Method and implicit backward Euler time scheme
divyanshu-talwar/Numerical-Methods
Implementation of well-known numerical methods.
fritzwill/root-finding-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
liuxiaodong008008/numopt3
Numerical optimization library in C++.
amirHosseinEz/Numerical-Analysis
This is a Numerical Analysis course project, implementing numerical analysis methods.
iitrabhi/fenics-workshop
Tutorials and exercises for learning to use FEniCS [Website under construction]
cvanaret/nonconvex_solver_comparison
This repo collects results of nonlinear optimization solvers on standard benchmark problems
Paulnkk/Nonlinear-Optimization-Algorithms
Implementation of nonlinear Optimization Algorithms in Python
ELC/interactive-optimization
Index of different Optimization Methods
HadiElnemr/Numerics-codes
Some Numerical Analysis algorithms implemented in Python.
hanyas/second-order-smoothers
Second-order iterated smoothing algorithms for state estimation
arielcedola/Drift-diffusion-device-simulation
Pyhton algorithm for numerical simulation of heterostructure devices
bkb3/Newton-Raphson-method-in-C
We use Newton-Raphson method to find zeroes of an equation.
cakirgokberk/Levenberg-Marquardt-Method
Levenberg-Marquardt Method is studied for finding the model parameters.
mlazaric/Newt
Python script for visualising the basins of attraction of Newton's method.
s-baumann/MultivariateFunctions.jl
A framework for multivariate functions together with constructors for schumaker splines, OLS, Chebyshev, MARS splines for approximation.
tamaskis/newtons_method_n-MATLAB
Newton's method for finding the root of a differentiable, multivariate, vector-valued function.
dahyun-kang/newoptpy
Newton’s second-order optimization methods in python
MeadeRobert/OrbitSimulator
Orbit Simulator
bala4krish/Winding_down_the_road
Numerical Optimization library implementing Gradient Descent and Newton's method using backtracking line search for finding the minimum.
dreamchef/numerical-analysis-methods
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.
iMD10/MATH317-Numerical-Methods
A collection of Python implementations of numerical methods based on the pseudocodes from MATH317 lectures, including Bisection, Horner's method, Complete Horner's method, Newton's method, and Polynomial evaluation techniques.
LMesaric/NewtonFractals
First project for DisCont Mathematics 2 @ FER
mxmayerr/nonlinear-dynamics
Repository for my Nonlinear Dynamics files
Samarth4023/Calculus
📚 Calculus - Welcome to the Calculus repository! This collection is designed to help you understand and apply various calculus concepts that are essential for machine learning, data science, and beyond. Whether you are a student, a researcher, or just curious about calculus, you'll find valuable resources here.