Oh, I forgot we have the rbOOmit mailing list!

K. Lee.

On Wed, Nov 2, 2011 at 9:18 PM, David Knezevic
<[email protected]>wrote:

> Actually, another test is to see what happens if you move the code below
> (except the line rb_eval.read_offline_data_**from_files();) to the
> offline stage, right after you do the Greedy. This will check if there is
> some issue with reading in the data from files.
>
>
>
>
> On 11/02/2011 09:08 AM, Kyunghoon Lee wrote:
>
>> Hi all,
>>
>> I made a code with rbOOmit for an acoustic horn problem.  It seems the
>> greedy training process works, but if I run online with any inputs, the
>> output and output bound are always zeros.  The way I did is
>>
>>         // Read in the reduced basis data
>>         rb_eval.read_offline_data_**from_files();
>>
>>         // Set the parameters to online_mu_vector
>>         rb_eval.set_current_**parameters(online_mu_vector);
>>         rb_eval.print_current_**parameters();
>>
>>         // Now do the Online solve using the precomputed reduced basis
>>         rb_eval.rb_solve(online_N);
>>
>>         // Print out outputs as well as the corresponding output error
>> bounds.
>>         std::cout<<  "output = "<<  rb_eval.RB_outputs[0]
>>             <<  ", bound = "<<  rb_eval.RB_output_error_**bounds[0]<<
>> std::endl;
>>
>> I wonder if there is something I miss to handle complex outputs and output
>> bounds.
>>
>> K. Lee.
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