## Newton's Method

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Newton's Method to find the roots of a polynomial

Updated 03 Aug 2015

This function can be used to perform Newton-Raphson method to detect the root of a polynomial. It starts from an initial guess by user and iterates until satisfy the required convergence criterion.
It should be noted that the “root” function in the MATLAB library can find all the roots of a polynomial with arbitrary order. But this method, gives the one the roots based on the initial guess and it gives the number of iteration required to converge.
% Example:
% f(x)=(x^3)-6(X^2)-72(x)-27=0
% therefore
% vector=[1 -6 -72 -27]
% initial=300;
% tolerance=10^-2;
% maxiteration=10^4;
% [root,number_of_iteration] = newton(vector,initial,tolerance,maxiteration)
% or
% [root,number_of_iteration] = newton([1 -6 -72 -27],300,10^-2,10^4)
% root=
% 12.1229
% number_of_iteration=
% 13
% This means that the detected root based on the initial
% guess (300) is 12.1229 and it converges after 13 iterations.

### Cite As

Farhad Sedaghati (2022). Newton's Method (https://www.mathworks.com/matlabcentral/fileexchange/52362-newton-s-method), MATLAB Central File Exchange. Retrieved .

##### MATLAB Release Compatibility
Created with R2013a
Compatible with any release
##### Platform Compatibility
Windows macOS Linux