Build a matrix of data and insert them in a function

I have a function. Suppose

function y=A(1)*B+A(2)

in which A is an array of 2 x m elements and B is a vector of n elements. The A(1,:) is varies while A(2,:) is a contant number. I would like to multiply all the elements of B with each one of the elements of A in order to build a matrix of y outputs.

My ultimate goal to mesh all this data and produce surface plot. I would like to use for loops to avoid the dots before the operators because actually I have a complicated function Thank you.

Answer 1

[Giorgos Papakonstantinou]

What I wanted was the following:

   for i=2:4
     B(i)=B(1,i-1);

     for j=2:11
      A(1,j)=A(1,j-1);
      A(2,j)=A(2,j-1):

      y(i,j)=myfun(A(:,j),B(i));
     end
   end   
   figure
   mesh(x(1,:)B,y)
   surf(x(1,:)B,y)

But I did it. Thank you

Answer 2

[Walter Roberson]

It was not clear how A(2,:) fit in, but perhaps

bsxfun(@times, B(:), A(1,:)) + A(2*ones(1,length(B)), :)

Answer 3

[Giorgos Papakonstantinou]

Indeed I have to be more clear. I understand the use of bsxfun. But what if I have a much more complicated function?

And to give you more details. If the vectors would be

    A(1)=[1 2 3 4 5 6 7 8 9 10];
    A(2)=[0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1];
    B=[5 8 10];

and the function would be

y=A(1)*A(2)+(A(1)+0.2)^2+B*A(1);

situation is a bit more complicated. So I would like to have the outcome of such a function for all combinations. For instance the outcome of y for B(1) for all A(1,:) and A(2,:), the outcome of y for B(2) for all A(1,:) and A(2,:) ans so on.