nonlinear optimization problem with linear constraints on the regression
parameters.
Thanks
Stu
> -Original Message-
> From: Liviu Andronic [mailto:landronim...@gmail.com]
> Sent: Tuesday, June 16, 2009 12:15 PM
> Cc: r-help@r-project.org
> Subject: Re: [R] Trouble with optim on a s
Hello,
On 6/16/09, Stu @ AGS wrote:
> Thanks for your response!
> No, my basic equation does not use matrices at all. It takes scalar values
> and returns a scalar.
>
Not quite. Taking the example above, if you run the following:
> with(observs , {1*x1*x2^2*x3^3})
[1] 0.000e+00 4.267e+16 8.910
319, 0.087378640776699, 0.549295774647887,
0.0596026490066225, 0.61578947368421)
Thank you again,
Stu
> -Original Message-
> From: Liviu Andronic [mailto:landronim...@gmail.com]
> Sent: Tuesday, June 16, 2009 2:35 AM
> To: Stu @ AGS
> Cc: r-help@r-project.org
> Subject: Re: [R]
Hello,
On 6/16/09, Stu @ AGS wrote:
> Error in optim(c(0.66, 0.999, 0.064), pe, NULL, method = "L-BFGS-B") :
>
> objective function in optim evaluates to length 6 not 1
>
>
> > pe <- function(c) c[1]*x1*x2^c[2]*x3^c[3]
>
I would suspect a matrix multiplication issue. In order to minimise
you
Hello!
I am getting the following errors when running optim() [I tried optim() with
3 different methods as you can see]:
Error in optim(c(0.66, 0.999, 0.064), pe, NULL, method = "L-BFGS-B") :
objective function in optim evaluates to length 6 not 1
> out <- optim( c(0.66, 0.999, 0.064),
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