Converting function file to Anonomys function.
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Given we have the function file
function y = lorenz(t,x,sigma,rho,beta)
% INPUT: t is a a real value indicating time
% x is a column vector of size 3 x 1
% sigma, rho, beta are parameters of the Lorenz
% equations
% OUTPUT: y is a column vector of size 3 x 1 that gives
% the right hand side of the Lorenz equations
y=[0;0;0];
x=x+t;
y(1)=sigma*(x(2)-x(1));
y(2)=x(1)*(rho-x(2))-x(3);
y(3)=x(1)*x(2)-beta*x(3);
end
How can we convert this into a Anonymous function
f = @(t,x) lorenz(t,x,sigma,rho,beta)
??.
6 Commenti
What is wrong with f = @(t,x) lorenz(t,x,sigma,rho,beta) ? This seems to be the answer you are looking for (as long as sigma, rho and beta are defined in the workspace)... or is there something unexpected happening?
According to the original question there is no need to use feval or the like. That would be slow and not very robust.
Tom Craven
il 2 Giu 2015
Tom Craven
il 2 Giu 2015
Modificato: Walter Roberson
il 2 Giu 2015
Tom Craven
il 2 Giu 2015
Modificato: Walter Roberson
il 2 Giu 2015
Walter Roberson
il 2 Giu 2015
Please show the complete trace of the "too many input arguments" error.
Stephen23
il 2 Giu 2015
If you are getting an error message please give us the complete message (i.e. all of the red text). We need this to know what is happening.
Also please do not insert empty lines into your code, it makes it difficult to read on this forum.
Risposte (2)
Guillaume
il 1 Giu 2015
If you're asking how to replace the whole code in your lorenz function by an anonymous function, I'm not sure it's a good idea as it's not going to be very readable due to the severe limitations of anonymous functions in matlab.
This would be something like:
f = @(t, x) [sigma*(t+(x(2)-x(1))), (x(1)+t)*(rho-x(2)-t)-x(3)-t, (x(1)+t)*(x(2)+t)-beta*(x(3)+t)];
Keep your function in a file. It's a lot clearer.
1 Commento
Sean de Wolski
il 2 Giu 2015
Modificato: Sean de Wolski
il 2 Giu 2015
^This
And not just clearer; faster also!
Nobel Mondal
il 1 Giu 2015
Modificato: Nobel Mondal
il 1 Giu 2015
fH = str2func('lorenz');
y = feval(fH,t,x,sigma,rho,beta);
1 Commento
Tom Craven
il 1 Giu 2015
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