On Wed, May 4, 2011 at 1:55 PM, Andy Buckle
<address@hidden> wrote:
On Wed, May 4, 2011 at 12:50 PM, olga_kruglova <address@hidden> wrote:
> Hello everybody,
>
> I try to use leasqr.m to fit data with function convoluted with known
> resolution function but it gives me an error:
>>> Convolution
> Variables in the current scope:
>
> Attr Name Size Bytes Class
> ==== ==== ==== ===== =====
> f y 1024x1 8192 double
>
> Total is 1024 elements using 8192 bytes
>
> Variables in the current scope:
>
> Attr Name Size Bytes Class
> ==== ==== ==== ===== =====
> data 1024x1 8192 double
>
> Total is 1024 elements using 8192 bytes
>
> Variables in the current scope:
>
> Attr Name Size Bytes Class
> ==== ==== ==== ===== =====
> f wt 4x1 32 double
>
> Total is 4 elements using 32 bytes
>
> Variables in the current scope:
>
> Attr Name Size Bytes Class
> ==== ==== ==== ===== =====
> f y 1024x1 8192 double
>
> Total is 1024 elements using 8192 bytes
>
> error: product: nonconformant arguments (op1 is 4x1, op2 is 1024x1)
> error: called from:
> error: C:\OCTAVE~2\leasqr.m at line 184, column 3
> error: C:\OCTAVE~2\Convolution.m at line 25, column 67
> I can not understand why. Could you please help me out with it? Thank you
> very much in advance!
>
> Kind regards, Olga
Is Convolution.m your script?
I think that in order to help, we have to see line 25 of Convolution.m.
--
/* andy buckle */