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False Position (Linear Interpolation) Numerical Method

version 1.0.0.0 (2.05 KB) by Roche de Guzman
Function for finding the x root of f(x) to make f(x) = 0, using the false position bracketing method

445 Downloads

Updated 21 Feb 2017

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% Inputs: with examples
% AF = anonymous function equation: AF = @(x) 1-((20^2)./(9.81*(((3*x)+((x.^2)/2)).^3))).*(3+x);
% xb = initial guess x bracket = [xL xU], where xL = lower boundary x and xU = upper boundary x: xb = [0 2.5];
% ed = desired approximate relative error = |(current - previous)/current|: ed = 0.01;
% Outputs
% xR = x root
% err = approximate relative error
% n = number of iterations
% xRV = x root vector
% errV = approximate relative error vector
% AFD1 = anonymous function 1st derivative
% AFD2 = anonymous function 2nd derivative

Cite As

Roche de Guzman (2021). False Position (Linear Interpolation) Numerical Method (https://www.mathworks.com/matlabcentral/fileexchange/61686-false-position-linear-interpolation-numerical-method), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2015b
Compatible with any release
Platform Compatibility
Windows macOS Linux
Categories
Acknowledgements

Inspired: Numerical Methods

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