Karl,
Everything appears to be working correctly with the power method. A
followup though, is it possible to return 'all' eigenvalues and
eigenvectors with the power algorithm? The Lanczos example (in the
feature-improve-lanczos branch) code looks like it would iterate through
all eigenvalues and eigenvectors. For example, with a trivial matrix of
size 4x4 I would expect to get 4 eigenvalues and 4 eigenvectors (of length
4, i.e. a matrix of 16 elements).
This leads me to another question, I didn't see a merge between the Lanczos
algorithm. Is that still under development or is it now implemented in the
master branch?
Again, thank you all your work,
Regards,
Charles
On Fri, Jul 10, 2015 at 4:20 AM, Karl Rupp <r...@iue.tuwien.ac.at> wrote:
> Hi Charles,
>
> the interface for the power iteration has been updated to also return
> eigenvectors:
>
> https://github.com/viennacl/viennacl-dev/commit/e80cc2141f266eb9b279dd45b7c4075b557bf558
>
> Please let me know if you run into issues.
>
> Best regards,
> Karli
>
>
>
> On 07/08/2015 06:58 PM, Charles Determan wrote:
>
>> Greetings,
>>
>> I have seen that I can get all the eigenvalues with the lanczos
>> algorithm in the lanczos.cpp example file but I don't see any
>> documentation on eigenvectors. The only thing I have found is on the
>> feature-improve-lanczos branch
>>
>> https://github.com/viennacl/viennacl-dev/blob/karlrupp/feature-improve-lanczos/examples/tutorial/lanczos.cpp
>> .
>> Is this intended to be implemented or is there existing support for
>> determining eigen vectors?
>>
>> A secondary question, is the same possible with the power method?
>>
>> Thanks,
>> Charles
>>
>>
>>
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