How to create a loop on function handle

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Romio
Romio el 24 de Jun. de 2022
Editada: James Tursa el 24 de Jun. de 2022
I want to write the following in an efficent way using a loop over j = 1:n. A is n by n matrix, t(i) is a scalar (where i is another index, c is n by 1 vector, and f is a function handle. I want the output to be function handle XI which is an n by 1 vector and whose argument is the vector xi of length n by 1
Here n = 3, but I want it for general n.
A = ones(3,3);
c = ones(3,1);
f = @(t,y) t * y;
XI = @(xi) [xi - (y(i,:) + dt* A(:,1) .* f(t(i)+c(1)*dt,xi(1)) +...
dt* A(:,2) .* f(t(i)+c(2)*dt,xi(2)) +...
dt* A(:,3) .* f(t(i)+c(3)*dt,xi(3)))];

Respuesta aceptada

James Tursa
James Tursa el 24 de Jun. de 2022
Editada: James Tursa el 24 de Jun. de 2022
Isn't this just a standard matrix*vector multiply? E.g.,
XI = @(xi) xi - (y(i,:) + A*((t(i)+c*dt).*xi)*dt);
Note that this function handle will be pulling all the non-arguments A, y, i, t, and dt from the workspace at the time the function handle is created. I.e., it will take a shapshot of those variables and store them inside the function handle. I strongly suspect this isn't what you intended or wanted. To make the function handle responsive to changes in variables, you need to include those variables in the argument list. E.g.,
XI = @(xi,A,y,i,t,dt) xi - (y(i,:) + A*((t(i)+c*dt).*xi)*dt);
Now the function handle XI will be using the values of the variables passed into it for all the calculations, instead of just xi and past snapshots of the other variables as you have originally coded.
  2 comentarios
Romio
Romio el 24 de Jun. de 2022
Editada: Romio el 24 de Jun. de 2022
Thanks!
The first expression might work. But it is not multiplication, these are inputs to the handle f and they are summed at the end.
Yes I want the argument of the handel XI only to be xi, and the rest are taken from the workspace.
James Tursa
James Tursa el 24 de Jun. de 2022
Editada: James Tursa el 24 de Jun. de 2022
"... But it is not multiplication ..."
Sure looks like your calculations boil down to a matrix*vector multiply to me.
" ... the rest are taken from the workspace ..."
Realize that they are taken from the workspace as snapshots at the time the function handle is created. They are not taken from the current workspace. Your current code would be unusual unless it was re-creating the function handle each time just prior to its being used. E.g.,
a = 4; t = 1:3; i = 1;
f = @(x) a + t(i)*x
f = function_handle with value:
@(x)a+t(i)*x
f(3)
ans = 7
i = 2;
f(3)
ans = 7
i = 3;
f(3)
ans = 7
Note that the f(3) results don't change when we change the value of i in the workspace. That is because the function handle f took snapshots of a, t, and i at the time f was created and stored them inside f. As far as f is concerned, a has a fixed value of 4, t is a fixed vector 1:3, and i has a fixed value of 1. f is nonresponsive to changes in any of these variables in the workspace. Once you create the function handle, the a, t, and i in the function handle are completely different variables than the a, t, and i in the workspace. Maybe this behavior is what you want, but it would be unusual (at least to me) given the indexed calculations involved unless f itself is constantly being redefined in your code. But only you can answer this.

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