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Functional form of the colon (:) operator?

Knut 님이 질문을 제출함. 18 Sep 2012
This is a post about "how to write neat, efficient, readable MATLAB code". I get the job done by doing work-arounds, but I would rather not do those.
Assume that a, b are two vectors of unknown orientation, and we want to compute something similar to the dot-product.
It might look something like this:
function y = myfunc(a,b)
//make sure that vectors are oriented the same way
y = a(:) .* b(:);
But what if I need to calculate y for elements 2:N? We might do something like this, but I think it clutters the code:
function y = myfunc(a,b)
a = a(2:end)
b = b(2:end)
y = a(:) .* b(:);
I am wishing for a functional form of the colon operator that might look something like this:
function y = myfunc(a,b)
y = colon(a(2:end)) .* colon(b(2:end));

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답변 수: 4

José-Luis 님의 답변 18 Sep 2012
 채택된 답변

function y = myfunc(a,b)
//make sure that vectors are oriented the same way
y = reshape(a(2:end),[],1) .* reshape(b(2:end),[],1);

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Jan 10 Oct 2017
Nice, short, efficient: I have accepted this answer.

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Daniel Shub 님의 답변 18 Sep 2012

I thought that squeeze would do what you want, but apparently it doesn't "work" on row vectors. What would be nice is if squeeze had a row flag. Barring that, you can easily create your own colon function. From
type squeeze
it should be obvious what you need to change.

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Royi Avital 님의 답변 10 Oct 2017

I really wish MATLAB would add function to vectorize arrays into column vector as the colon operator does.

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We did, a very long time ago. It's called reshape.
A = magic(5);
B = reshape(A, [], 1);
% or to avoid the need to implicitly compute the "missing" size
% inside reshape
C = reshape(A, numel(A), 1);
Jan 10 Oct 2017
@Royi: Do you have an example where the mentioned methods are not applicable or "ugly"?
@Jan, I find something like vec(A) to be much more elegant.

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Jan 님의 답변 10 Oct 2017

What's wrong with:
y = x(:)
or:
reshape(x, [], 1)
There is a functional form of the x(:) operator:
subsref(x, struct('type', '()', 'subs', {{':'}}))

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Sometimes it is easiest to define an auxillary function, such as
column = @(M) M(:);
after which you can
column(a(2:end)) .* column(b(2:end))

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