____________
% This function is a modified versio of the newtmult function
obtained
% from
% “Applied Numerical Methods with MATLAB, Chapra,
% 3rd edition, 2012, McGraw-Hill.”
function [x,f,ea,iter]=newtmult(func,x0,es,maxit,varargin)
% newtmult: Newton-Raphson root zeroes nonlinear systems
% [x,f,ea,iter]=newtmult(f,J,x0,es,maxit,p1,p2,...):
% uses the Newton-Raphson method to find the roots of
% a system of nonlinear equations
% input:
% f = the passed function
% J = the passed jacobian
% x0 = initial guess
% es = desired percent relative error (default = 0.0001%)
% maxit = maximum allowable iterations (default = 50)
% p1,p2,... = additional parameters used by function
% output:
% x = vector of roots
% f = vector of functions evaluated at roots
% ea = approximate percent relative error (%)
% iter = number of iterations
if nargin<2,error('at least 2 input arguments
required'),end
if nargin<3|isempty(es),es=0.0001;end
if nargin<4|isempty(maxit),maxit=50;end
iter = 0;
x=x0;
while (1)
% find function value and the jacobian
% Calculate the new x
iter = iter + 1;
% Asses the error
if "Check stopping criteria", break, end
end
Solution:3 Given simultaneous nonlinear equations are
Using initial guess x=2 and y=4.
Now computing the partial derivatives and evaluate at the initial guessing
points at x=2 and y=4., we have
and
Therefore, determinant of Jacobian for the first iteration becomes
The values of the functions at the initial guess points are,
Since we know that,
and
Therefore, the values
can be substituted in the above equations * and **, we have
and
____________ % This function is a modified versio of the newtmult function obtained % from % “Ap...
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