|Re: [eigen] <xxx>PivLU::solve( diagonal matrices )|
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- To: eigen@xxxxxxxxxxxxxxxxxxx
- Subject: Re: [eigen] <xxx>PivLU::solve( diagonal matrices )
- From: Benoit Jacob <jacob.benoit.1@xxxxxxxxx>
- Date: Tue, 1 Jun 2010 20:55:06 -0400
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2010/6/1 Manoj Rajagopalan <rmanoj@xxxxxxxxx>:
> The <xxx>PivLU::solve() member seems to be implemented only for MatrixBase
> My PDE solver code requires calling solve on a diagonal matrix.
> One way I can think of achieving this is to call <xxx>PivLU::inverse() *
> diag-matrix. Is there a better way to achieve this?
Right now, slightly better:
However, this is still not optimal. What would be really efficient
would be an optimized triangular inverse(). Then we could compute L^-1
efficiently and then use our triangular solver to compute U^-1 L^-1 =
The usefulness of this would be far-reaching: in particular it would
give a more optimized inverse().
> Would an implementation of solve for DiagonalBase<> descendants as args be
> desirable, esp. since the argument is passed as const& ?
What is desirable is an optimized triangular inversion function, as
explained above :)
That would be VERY desirable (provided that it runs faster than our
current solution of applying our triangular solver to the identity