This repository contains Python implementations of various root-finding methods for solving non-linear equations. Each method is implemented in a separate Python script.
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Bisection Method: The bisection method is a simple and robust iterative technique for finding the roots of a continuous function within a specified interval.
- File:
BisectionMethod.py
- Usage: Run this script to find the root of an equation using the bisection method.
- File:
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Newton-Raphson Method: The Newton-Raphson method is an iterative numerical technique used to find the roots of a function by using its derivative.
- File:
NewtonRaphson.py
- Usage: Execute this script to calculate the root of an equation using the Newton-Raphson method.
- File:
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Regula Falsi Method: The regula falsi method is a bracketing technique that iteratively narrows down the interval containing the root.
- File:
RegulaFalsi.py
- Usage: Run this script to find the root of an equation using the regula falsi method.
- File:
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Secant Method: The secant method is an iterative numerical technique similar to the Newton-Raphson method but does not require calculating the derivative.
- File:
SecantMethod.py
- Usage: Execute this script to compute the root of an equation using the secant method.
- File:
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Clone this repository to your local machine:
git clone https://github.com/lokeshdangii/Root-Finding-Methods-of-Non-Linear-Equations.git
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Navigate to the repository directory:
cd Root-Finding-Methods-of-Non-Linear-Equations
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Choose the method you want to use and open the corresponding Python script.
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Modify the script to define the equation you want to find the root of and adjust any other parameters if needed.
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Run the Python script:
python BisectionMethod.py
Replace BisectionMethod.py with the appropriate script name.
If you'd like to contribute improvements, bug fixes, or additional root-finding methods to this repository, feel free to submit a pull request.
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