Repeating a function n times with different values from a vector

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I have quite a big problem and I hope that anyone could help me.
I'm using Newton Pharson to iterate two equations with a vector x as input. Now I want to split the vector in different sections and calculate for every single section the equation and save the solutions in another new vector
Example what I mean:
x = [0.093,0.23,0.6,0.95,0.54,1]
Now I would calculate the equation for the value pairs of 0.093, 0.23 -> solution is saved to a matrix y = [2,3]
then for the next two value pairs of x (0.6 & 0.95) and save the two solutions to the matrix y = [2,3;1,2]
Does anyone have a solution to this problem?
clear all;
clc;
%% inputs:
x = [0.093,0.23,0.6,0.95,0.54,1];
% residuals
fun = @(b) ..... %enter the equation
%% solve
x0 = [3]; %initial guess
options = optimset('TolX',1e-12); % set TolX
for i =....
[b, resnorm, f, exitflag, output, jacob] = newtonraphson(fun, x0, options);
c = b +1;
end

Accepted Answer

Jos (10584)
Jos (10584) on 1 May 2019
If you organize the input differently, this is not so difficult
x = [1 2 ; 3 4 ; 5 6] ; % organized into rows
N = size(x,1) ; loop over rows
y = zeros(N,2) ; % pre-allocate the output
for k = 1:N
% you can do this in a single step, here I split it up in 3 for clarity
tempx = x(k,:) ;
tempy = myfunction(tempx) ;
y(k,:) = tempy ; % tempy is expected to be a 1-by-2 vector!
end

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