available with the PETSc distribution
>>>> https://bitbucket.org/petsc/petsc.git in the directory
>>>> src/snes/examples/tutorials/network/pflow for anyone who wants to test it.
>>>>
>>>> I am not surprised that PARDISO was found to be s
> with using Matlab’s \ operator directly rather than mplinsolve()
>>>> <http://www.pserc.cornell.edu//matpower/docs/ref/matpower5.1/mplinsolve.html>,
>>>> because even for the largest systems I tried, there was little or no
>>>> advantage to PARDISO, and the ext
onization would most likely dominate. In addition,
>> one needs to be cognizant of issues such as thread affinity and first touch
>> when dealing with threads, which makes it harder for performance
>> optimization.
>>
>> Shri
>>
>> From: Jose Luis Marin
: MATPOWER discussion forum
> Date: Monday, October 19, 2015 at 12:15 PM
>
> To: MATPOWER discussion forum
> Subject: Re: Question about sparsity-based implementation in MATPower
>
>
> I'd like to add that Matlab keeps incorporating the latest sparse direct
> solve
Marin mailto:mari...@gridquant.com>>
Reply-To: MATPOWER discussion forum
mailto:matpowe...@list.cornell.edu>>
Date: Monday, October 19, 2015 at 12:15 PM
To: MATPOWER discussion forum
mailto:matpowe...@list.cornell.edu>>
Subject: Re: Question about sparsity-based implementation in MATPower
te
>>> that, internally, MATLAB does perform some sort of matrix reordering to
>>> reduce the fill-ins in the factored matrix. For instance, UMFPACK uses an
>>> approximate minimum degree reordering scheme by default.
>>>
>>> Shri
>>>
>>> F
d matrix. For instance, UMFPACK uses an
>> approximate minimum degree reordering scheme by default.
>>
>> Shri
>>
>> From: Shruti Rao
>> Reply-To: MATPOWER discussion forum
>> Date: Sunday, October 18, 2015 at 8:31 PM
>> To: MATPOWER discussion forum
forum <mailto:matpowe...@list.cornell.edu>>
> Date: Sunday, October 18, 2015 at 8:31 PM
> To: MATPOWER discussion forum <mailto:matpowe...@list.cornell.edu>>
> Subject: Re: Question about sparsity-based implementation in MATPower
>
> Thank you Dr. Abhyakar,
>
MATPOWER discussion forum
> Subject: Re: Question about sparsity-based implementation in MATPower
>
> Thank you Dr. Abhyakar,
>
> My main aim was to confirm that MATPower uses the inbuilt "\" to solve the
> matrix equations and not Tinney or some other form of reor
: Shruti Rao mailto:sra...@asu.edu>>
Reply-To: MATPOWER discussion forum
mailto:matpowe...@list.cornell.edu>>
Date: Sunday, October 18, 2015 at 8:31 PM
To: MATPOWER discussion forum
mailto:matpowe...@list.cornell.edu>>
Subject: Re: Question about sparsity-based implementation in MATP
ober 18, 2015 at 5:37 PM
> To: MATPOWER discussion forum
> Subject: Question about sparsity-based implementation in MATPower
>
> Greetings MATPower community,
>
> I had a question about the way sparsity-based techniques are used in the
> Newton-Raphson solver of the power flow algorith
performing the linear
solve.
Shri
From: Shruti Rao mailto:sra...@asu.edu>>
Reply-To: MATPOWER discussion forum
mailto:matpowe...@list.cornell.edu>>
Date: Sunday, October 18, 2015 at 5:37 PM
To: MATPOWER discussion forum
mailto:matpowe...@list.cornell.edu>>
Subject: Question ab
Greetings MATPower community,
I had a question about the way sparsity-based techniques are used in the
Newton-Raphson solver of the power flow algorithm in MATPower.
I ran the code step-by-step and from my understanding, the way the sparsity
of the Jacobian matrix is exploited is that it is creat
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