I am having problems in anonymous function (y=@(x)(...))

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Angus Wong
Angus Wong el 29 de Abr. de 2019
Editada: Angus Wong el 1 de Mayo de 2019
Let me re-word my querry.
Let's say there is a square matrix of v=[1 2 3 4 5 6 78 9 10; 11 12 13 14 15 16 17 18 19 20;21 22 23 24 25 26 27 28 29 30;31 32 33 34 35 36 37 38 39 40;41 42 43 44 45........ 99 100] and a is a variable that prompt the user to input. It is easy to obtain a square matrix of size a by a of the original matrix v (left hand corner) with the use of w=v(1:a,1:a), of course a is less than length(v).
However, I would like to know how to do the same for anonymous functions. v in this case will be a column matrix a quantities of "@(x)(B.*[x x^2 x^3 ......]);", where [x x^2 x^3 ......] is a row matrix with a elements.
Here is an example:
Let's say v={@(x)([x x^2 x^3 x^4]; @(x)([x^2 x^3 x^4 x^5]); @(x)([x^3 x^4 x^5 x^6]); @(x)([x^4 x^5 x^6 x^7])};
if a = 3, the new v would be v={@(x)([x x^2 x^3]; @(x)([x^2 x^3 x^4]); @(x)([x^3 x^4 x^5])};
  4 comentarios
Kevin Phung
Kevin Phung el 29 de Abr. de 2019
ok, just wanted to make sure. Also, what is x supposed to be? I think maybe it'll be easier to construct the matrix if x was an input to your function fun, instead of creating so many anonymous functions.
Angus Wong
Angus Wong el 29 de Abr. de 2019
Editada: Angus Wong el 29 de Abr. de 2019
x is a variable.
The script is something like this:
clear; close all; clear;
dat=load(data);
leadingcoe=coef(dat);
yo=fun(leadingcoe);
k=input('Input a number for x');
for a=1:k
disp(yo{a}(k));
end
This is a simplified version.

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Respuestas (1)

Kevin Phung
Kevin Phung el 29 de Abr. de 2019
Editada: Kevin Phung el 29 de Abr. de 2019
let me know if this is what youre trying to do with your anon functions:
function y = fun(a,x)
y = sum(triu(repmat(flip(x.^(1:a)),numel(a),1)),2)
%uncomment this if you want to see how the matrix looks like before summing the rows
%y = triu(repmat(flip(x.^(1:a)),numel(a),1))
end
  3 comentarios
Angus Wong
Angus Wong el 29 de Abr. de 2019
This function is intended to output an anonymous function.
Angus Wong
Angus Wong el 29 de Abr. de 2019
But thanks a lot for your hard work!

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