root-finding-methods | Topic | Ecosyste.ms: Repos

Topic: "root-finding-methods"

JuliaIntervals/IntervalRootFinding.jl

Library for finding the roots of a function using interval arithmetic

Language: Julia - Size: 1.39 MB - Last synced at: 2 days ago - Pushed at: 3 days ago - Stars: 131 - Forks: 26

hrkalona/Fractal-Zoomer

One of the most complete fractal generating softwares using java!

Language: Java - Size: 305 MB - Last synced at: 6 days ago - Pushed at: 7 days ago - Stars: 25 - Forks: 5

jishnurajendran/Numerical-analysis

MATLAB/Octave Codes for Numerical analysis techniques

Language: MATLAB - Size: 563 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 15 - Forks: 5

perpendicooler/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

Language: MATLAB - Size: 3.61 MB - Last synced at: 15 days ago - Pushed at: over 1 year ago - Stars: 13 - Forks: 2

saeedahmadicp/numerical_optimization_of_ai

Numerical techniques for optimization of artificial Intelligence

Language: Python - Size: 3.87 MB - Last synced at: 8 days ago - Pushed at: about 2 months ago - Stars: 9 - Forks: 4

hahnec/optimizay

collection of numerical optimization methods

Language: HTML - Size: 32 MB - Last synced at: 15 days ago - Pushed at: 10 months ago - Stars: 6 - Forks: 4

sebospc/numerical_analysis_2s

Language: Java - Size: 19.9 MB - Last synced at: 11 months ago - Pushed at: about 5 years ago - Stars: 6 - Forks: 2

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.

Language: Jupyter Notebook - Size: 8.21 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 1

ryan-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 - Size: 31.3 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 1

shaswata56/Numerical_Analysis

Numerical Analysis course repository.

Language: MATLAB - Size: 9.77 KB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

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 - Size: 137 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 2 - Forks: 1

rafiulgits/Numerical-Analysis

Numerical methods and solutions

Language: Jupyter Notebook - Size: 21.5 KB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 0

kuldeep-tolia/Numerical_Methods_Codes

Various numerical methods are discussed to solve different problems numerically.

Language: C++ - Size: 734 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

BarbulescuMihai/PyTES

Python Transcendental Equation Solvers

Language: Python - Size: 68.4 KB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 1

ErickOF/CE3102-Homework1

Language: Python - Size: 70.3 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

ignabelitzky/roots-of-equations

Implementation and usage of numerical root-finding algorithms.

Language: Python - Size: 38.1 KB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

MAHMUDSWE/Numerical-Analysis-Lab

Numerical Analysis Lab Task.

Language: MATLAB - Size: 8.79 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ali-izhar/numerical-optimization

Explore our AI-focused repository for practical Python implementations of essential numerical methods. Dive into linear algebra solutions, interpolation techniques, numerical integration, and regression models.

Language: Jupyter Notebook - Size: 1.59 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

dimitris1208/Numerical-Analysis-Python

Implementation of mathematical methods using python

Language: Python - Size: 12.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

jadvrodrigues/EquationSolver

General-purpose equation solver (up to the 4th order) which is fast and easy to use. Unit-tested.

Language: C# - Size: 10.7 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

lokeshdangii/Root-Finding-Methods-of-Non-Linear-Equations

Language: Python - Size: 10.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Ghenntoggy1/Laboratory-Work-NA-3

Laboratory 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 - Size: 12.7 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Ghenntoggy1/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 - Size: 18.6 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

sonyafar/solve-it

Online tool for computing roots using specific starting points, precisions, and numerical methods

Language: HTML - Size: 934 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

YashIITM/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.

Language: TeX - Size: 942 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

kiranmukesh7/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

Language: Jupyter Notebook - Size: 141 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0