False Position (Linear Interpolation) Numerical Method

Function for finding the x root of f(x) to make f(x) = 0, using the false position bracketing method
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Mise à jour 21 fév. 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

Citation pour cette source

Roche de Guzman (2024). False Position (Linear Interpolation) Numerical Method (https://www.mathworks.com/matlabcentral/fileexchange/61686-false-position-linear-interpolation-numerical-method), MATLAB Central File Exchange. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2015b
Compatible avec toutes les versions
Plateformes compatibles
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En savoir plus sur Interpolation dans Help Center et MATLAB Answers
Remerciements

A inspiré : Numerical Methods

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Version Publié le Notes de version
1.0.0.0