root-finding-methods
There are 0 repository under root-finding-methods topic.
JuliaIntervals / IntervalRootFinding.jl
Library for finding the roots of a function using interval arithmetic
Language:Julia 131hrkalona / Fractal-Zoomer
One of the most complete fractal generating software using java!
Language:Java 30jishnurajendran / Numerical-analysis
MATLAB/Octave Codes for Numerical analysis techniques
Language:MATLAB 21perpendicooler / Code-for-Numerical-Analysis-Executed-in-FORTRAN-and-MATLAB
This is a Git repository containing code for a numerical analysis lab using Fortran and MATLAB
fortran90numerical-analysisnumerical-methodsnumerical-methods-implementationlagrange-polynomial-interpolationlinear-equationsroot-finding-methodsgauss-jordan-eliminationgauss-seidel-methodnumerical-differentiationnumerical-integrationsimpsonstrapezoidal-methodweddle-s-rulelu-decomposition-methodmatlabfourier-transformationgauss-legendre-quadraturelaplace-transformmatlab-codesLanguage:MATLAB 13saeedahmadicp / numerical_optimization_of_ai
Numerical techniques for optimization of artificial Intelligence
Language:Python 9hahnec / optimizay
collection of numerical optimization methods
newtonoptimizationminimizationroot-findinggradientipynblevenberg-marquardtstochasticconjugate-gradientdescentexpectation-maximizationgauss-newtongauss-newton-methodimplementationlevenberg-marquardt-algorithmminimization-algorithmnewton-raphsonnewton-raphson-algorithmoptimization-algorithmsroot-finding-methodsLanguage:HTML 8- Language:Java 6
kuldeep-tolia / Numerical_Methods_Codes
Various numerical methods are discussed to solve different problems numerically.
Language:C++ 4dreamchef / 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.
numerical-analysisnumerical-analysis-algorithmsnumerical-analysis-methodsnumerical-methodsscientific-computingbisection-methodconvergence-analysisconvergence-ratenumerical-solveroptimizationorder-of-convergenceroot-findingroot-finding-algorithmsroot-finding-methodsnewton-methodnewton-raphsonnewtons-methodfixed-point-iterationfixed-point-methodLanguage:Jupyter Notebook 3BarbulescuMihai / PyTES
Python Transcendental Equation Solvers
Language:Python 2kiranmukesh7 / Computational-Astrophysics
Semi-automated root finding, Interpolation, Gauss Elimination method, LU Decomposition, Linear Algebra, Numerical Analysis - integration, differentiation, Newton cotes, Monte Carlo, Ordinary Differential Equation (ODE) solver, Curve Fitting, Signal Processing, Convolution, Correlation, Fourier Transform, Search Methods and many more
convolutioncorrelationcurve-fittingfourier-transformgauss-elimination-methodgradient-search-methodgrid-search-methodhistograminterpolation-mlinear-algebralu-decompositionmonte-carlo-methodsnumerical-differentiationnumerical-integrationordinary-differential-equationsroot-finding-methodssolution-to-set-of-linear-equationsLanguage:Jupyter Notebook 2rafiulgits / Numerical-Analysis
Numerical methods and solutions
Language:Jupyter Notebook 2- Numerical_Analysis
shaswata56 / Numerical_Analysis
Numerical Analysis course repository.
Language:MATLAB 2 ShrohanMohapatra / PACAGetMode
A Mathematica package by the name 'Polynomial adaptive cellular automata' to get the quasi-normal modes for the particles oscillating in the background of a black hole.
Language:Mathematica 2drobnyjt / chebyshev_proxy_rootfinding
Chebyshev-proxy Rootfinding based on J. Boyd (2013 and 2014). This repository is intended for educational use and isn't really a standalone package; however, the implementation may be enlightening for someone wishing to reimplement the CPR algorithm.
Language:Python 1ergineeer / numericalAnalysisMethods
Functions for numerical analysis methods - Bisection, False-Position, Newton-Raphson, Secant Method, Brent's Method
Language:MATLAB 1Ghenntoggy1 / Laboratory-Work-NA-1
Laboratory Work Numerical Analysis nr.1 at TUM. Mainly, this laboratory work was dedicated to Numerical Root Finding Methods, and consists of 5 tasks that I have done.
Language:Python 1Laboratory Work Numerical Analysis nr.3 at TUM. Mainly, this laboratory work was dedicated to Numerical Root Finding Methods for Systems of Linear Equations, Eigenvalues and Eigenvectors, Numerical Methods for ODEs, and consists of 3 tasks that I have done.
Language:Python 1jadvrodrigues / EquationSolver
General-purpose equation solver (up to the 4th order) which is fast and easy to use. Unit-tested.
Language:C# 1Mehrdadghassabi / Householder-methods
implementing some of the householder's root finding class of methods
Language:Jupyter Notebook 1roghed / convergence
C++ program to visualize convergence of the fixed-point iteration method
Language:C++ 1ryan-fauder / TraceRoot
É um programa implementado na linguagem Python que busca raízes de uma função com os métodos de Newton-Raphson e Bisseção.
Language:Python 1- Language:Kotlin 1
dimitris1208 / Numerical-Analysis-Python
Implementation of mathematical methods using python
Language:Python 0MuhammadAliSyed / root-finding-algorithms
The algorithms for the root-finding methods.
Language:Java 0wise-saint / Bisection_Method
Bisection Method to calculate root of a function
Language:MATLAB 0fooweiguo / Root-Finding
Based on our recent pre-print https://arxiv.org/abs/2509.20897 and published version in International Journal of Computer Mathematics.
ignabelitzky / roots-of-equations
Implementation and usage of numerical root-finding algorithms.
Language:Pythonkangwonlee / 19eca-hw-01
Engineering Computational Analysis Homework 01
Language:Python- Language:Python
- Language:MATLAB
merkouris148 / numerical-analysis-algorithms
Some numerical analysis algorithms, from scratch, written in Octave
Language:MATLABsonyafar / solve-it
Online tool for computing roots using specific starting points, precisions, and numerical methods
Language:HTMLspariyangat / matlab-numerical-methods
A collection of projects/labs I did for a numerical methods course in my sophomore year
Language:MATLABsuper-dainiu / complex-root-finding-and-fractals
Project for DATA130010 Numerical Analysis
Language:TeXYashIITM / Root-Finding-Algorithms
The behaviour of general root-finding algorithms is studied in numerical analysis. How-ever, for polynomials, root-finding study belongs generally to computer algebra, sincealgebraic properties of polynomials are fundamental for the most efficient algorithms. The efficiency of an algorithm may depend dramatically on the characteristics of the given functions. For example, many algorithms use the derivative of the input function,while others work on every continuous function. In general, numerical algorithms are not guaranteed to find all the roots of a function, so failing to find a root does not prove that there is no root. However, for polynomials, there are specific algorithms that use algebraic properties for certifying that no root is missed, and locating the roots in separate intervals(or disks for complex roots) that are small enough to ensure the convergence of numerical methods (typically Newton’s method) to the unique root so located.
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