Iterative solver (again) [Was: Re: [ODE] Russ'
plans forODE?]
Antonio_Martini at scee.net
Antonio_Martini at scee.net
Tue Apr 27 14:28:25 MST 2004
>Yes, I'm talking about something similar to that. Though if you are not
>running massively parallel (as GPU has to), you can just use Gauss-Seidel.
>But those are all just fancy-words. It is same as Jacobi, just meaning
that
>you immediatelly use available results.
methods can only be coupled, like a mixed Jacobi/Gauss-Seidel in that case
you may trade-off between parallelism and speed of convergence.
however as we well know from the theory of iterative linear system solvers,
for large systems a method based around the biconjugate gradient
method(Mendoza,Laugier, etc..) will
be faster. At least theoretically, given that simpler methods usually lead
to a more efficient implementation.
"Alen Ladavac" <alenl-ml at croteam.com>@q12.org on 27/04/2004 14:07:27
Sent by: ode-bounces at q12.org
To: "Nguyen Binh" <ngbinh at glassegg.com>, <Antonio_Martini at scee.net>
cc: ODE at q12.org
Subject: Re: Re[2]: Iterative solver (again) [Was: Re: [ODE] Russ' plans
forODE?]
> you may me interested in:
>
> http://www.shaderx2.com/shaderx.PDF
>
> where a projected Jacobi method is mentioned.
Yes, I'm talking about something similar to that. Though if you are not
running massively parallel (as GPU has to), you can just use Gauss-Seidel.
But those are all just fancy-words. It is same as Jacobi, just meaning that
you immediatelly use available results.
> http://vcg.isti.cnr.it/people/vcgpeople/mendoza/jnrr.pdf
>
> if you look carefully the first jacobi iteration started with force=0 is
the same as step fast where off diagonal elements disappear. so it looks
> like that step fast is like running the first iteration, setting the
force
to zero and running the first iteration again.
I believe that Mendoza uses biconjugate gradient method, but other than
that, yes, it is very similar. And it's exactly what my recent objection to
stepfast was - it does only the first iteration.
Alen
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