[petsc-users] Cholesky factorization

[Petar Petrovic]

Thanks, but is there any way to check if the package is already installed?
My problem is that I run the PETSc installation someone already set up and
I don't have the access to change it. I have tried running ./configure
--help in the directory PETSc is installed, but it just reports the error
because I don't have the access permition.
Also, sorry I didn't understand, are the directives in the code enough or
do I have to run my mpiexec command with additional options?


On Tue, Jan 8, 2013 at 1:35 PM, Matthew Knepley <knepley at gmail.com> wrote:

> On Tue, Jan 8, 2013 at 12:33 PM, Petar Petrovic <ppetrovic573 at gmail.com>wrote:
>
>> Thank you very much.
>> Can you tell me how to set the package that is used for
>> MatCholeskyFactor?
>> I need it to run for a sparse matrix so I have tried using:
>>
>> #ifdef PETSC_HAVE_CHOLMOD
>> ...
>> #endif
>>
>> but the code inside doesn't run. Does this mean that the package is not
>> installed or am I supposed to do something else, use some command line
>> options or something? Sorry these are very basic questions, but I am new to
>> PETSc and I cannot seem to find examples for this.
>>
>
> You need to activate 3rd party packages during configure, e.g.
> --download-umfpack.
>
> http://www.mcs.anl.gov/petsc/documentation/installation.html
>
>    Matt
>
>
>> On Tue, Jan 8, 2013 at 12:24 PM, Matthew Knepley <knepley at gmail.com>wrote:
>>
>>> http://www.mcs.anl.gov/petsc/documentation/linearsolvertable.html
>>>
>>>    Matt
>>>
>>>
>>> On Tue, Jan 8, 2013 at 11:21 AM, Petar Petrovic <ppetrovic573 at gmail.com>wrote:
>>>
>>>> Hello,
>>>> Can you please tell me for which type of matrices can I run Cholesky
>>>> factorization (MatCholeskyFactor) ? Can it be applied on sparse matrices,
>>>> e.g. MATAIJ ?
>>>> Many thanks
>>>>
>>>
>>>
>>>
>>> --
>>> What most experimenters take for granted before they begin their
>>> experiments is infinitely more interesting than any results to which their
>>> experiments lead.
>>> -- Norbert Wiener
>>>
>>
>>
>
>
> --
> What most experimenters take for granted before they begin their
> experiments is infinitely more interesting than any results to which their
> experiments lead.
> -- Norbert Wiener
>
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