Debugging Newton's Method code in two variables,
3 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
Hi,
I wrote a simple code for Newton's Method in two variables but am having some trouble debugging it. Here's the message I get:
Index exceeds matrix dimensions.
Error in Root_finding_practice>@(x)[cos(x(2)),-x(1)*sin(x(2));x(2)*cos(x(1)),sin(x(1))]
Error in Root_finding_practice (line 34)
x(i+1) = x(i) - ( inv( J( x(i) ) ) * f( x(i) ) );
The function file code is:
function F = nonlinear_equations(x)
F(1) = x(1) * cos( x(2) );
F(2) = x(2) * sin( x(1) );
end
and the script file code is:
f = @(x) nonlinear_equations;
% Jacobian
J = @(x) [ cos( x(2) ), -x(1)*sin(x(2));
x(2) * cos(x(1)), sin(x(1)) ];
x = [ 1, 1 ];
for i = 1:1000 % it should be stopped when tolerance is reached
x(i+1) = x(i) - ( inv( J( x(i) ) ) * f( x(i) ) );
if( abs( f( x(i+1) ) ) < 0.0001 ) % tolerance
disp(double(x(i+1)));
break;
end
end
What am I missing? I suspect it's the way I've defined the Jacobian anonymous function ...
Thanks,
0 commentaires
Réponse acceptée
Ameer Hamza
le 21 Sep 2020
Modifié(e) : Ameer Hamza
le 21 Sep 2020
Check this code
f = @(x) nonlinear_equations(x);
% Jacobian
J = @(x) [cos( x(2) ), -x(1)*sin(x(2));
x(2)*cos(x(1)), sin(x(1))];
x = [1; 1];
for i = 1:1000 % it should be stopped when tolerance is reached
x(:,i+1) = x(:,i) - inv(J(x(:,i)))*f(x(:,i));
if( abs(f(x(:, i+1))) < 0.0001) % tolerance
disp(double(x(:, i+1)));
break;
end
end
function F = nonlinear_equations(x)
F = zeros(2, 1);
F(1) = x(1) * cos( x(2) );
F(2) = x(2) * sin( x(1) );
end
8 commentaires
Plus de réponses (0)
Voir également
Catégories
En savoir plus sur Numerical Integration and Differentiation dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!