## How to vectorize a for-loop?

on 18 May 2013

### Matt J (view profile)

Hello!

I would appreaciate any help vectorizing the for loop below. The problem i cannot solve is how to take out the constants from wdrive and multiply it with the rest, according to the loop below. I want to become better at vectorizing my MATLAB code so I would really appreciate any help! Thanks alot!

```%S and R are square matrices (404*404).
%fc is a column vector
```
```wdrive=0:1:800;
a2=zeros(2*dofs,(length(wdrive)));
b2=zeros(2*dofs,(length(wdrive)));
Amp=zeros(1,length(wdrive));
```
``` SRS=S*(R\S);
SRfc=S*(R\fc);```
```for i=1:length(wdrive)
a2(:,i)=(wdrive(i)^2*SRS+R)\(fs-wdrive(i)*SRfc);
b2(:,i)=(R)\(fc+wdrive(i)*S*a2(:,i));
Amp(i)=sqrt(a2(dofs-1,i)^2+b2(dofs-1,i)^2);
end
```

Matt J

### Matt J (view profile)

on 18 May 2013

What is "fs"?

Samuel Hammarberg

### Samuel Hammarberg (view profile)

on 18 May 2013

Ops! Forgot to specify that. Fc is a column vector with the same size as Fs.

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on 18 May 2013
Edited by Matt J

### Matt J (view profile)

on 18 May 2013

I don't think you can vectorize everything, but you can cut down on the operations done inside the loop,

```     Rfc=R\fc;
SRS=S*(R\S);
SRfc=S*(Rfc);```
`     rhs=bsxfun(@minus,fs,SRfc*wdrive);`
```    for i=1:length(wdrive)
a2(:,i)=(wdrive(i)^2*SRS+R)\rhs(:,i);
end```
```     b2=Rfc+R\S*bsxfun(@times, wdrive, a2);
Amp=abs(a2(dofs-1,:)+i*b2(dofs-1,:));```

Matt J

### Matt J (view profile)

on 19 May 2013

Samuel Hammarberg commented:

It would still be sweet if you, somehow, could get rid of the for loop altogether. So if some one could crack that, that would be great!

Thank you very much!

Matt J

### Matt J (view profile)

on 19 May 2013

The for-loop isn't slowing you down significantly. You just have a lot of matrix inversions

` (wdrive(i)^2*SRS+R)`

to do. There's no simplification to this that I can see, unless there is some special structure in S and R that you haven't mentioned.

Matt J

### Matt J (view profile)

on 19 May 2013

You could also try parfor, if you have the Parallel Computing Toolbox.

on 18 May 2013
Edited by Matt J

### Matt J (view profile)

on 19 May 2013

Relocated to Comment by Matt J