|Re: [eigen] A modest start with the documentation|
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Thanks for all the comments. I updated the Getting Started guide in the
light of it; as you can see on
On Tue, 15 Jun 2010, Benoit Jacob wrote:
In this paragraph could you also mention that the header files are not
configured headers, and are the same for all platforms.
I don't understand what you mean with "configured" here.
"A simple first program"
I would not use rightCols() here, if only because it's one of these
function names that i'm only 99% happy about: it might sound strange.
Hmm, I notice now that I used columnIndex, writing out "column" in full.
Perhaps that is a sign. For the rest I don't see anything wrong with the
Also because I feel that block operatios can be deferred for the
bigger tutorial. Some basic coeff access and arithmetic should be
Yes, I was torn between that and showing that the Eigen API can do some
non-trivial stuff. It's gone now.
---> actually I think that this short tutorial needs to give a second
example with VectorXd.
The explanation about the Dense/Core headers can be deferred to the
longer tutorial. This room can be used for the VectorXd example, and
even, why not, for a 3rd example showing some fixed-size Matrix2d.
Hmm, I'd like to keep it to two examples. And I'm not sure how necessary
it is for users to learn about fixed-size types. The main advantage is
that they're faster, but I think getting the best performance out of Eigen
is too advanced a topic to treat in the short GettingStarted tutorial.
In the end, I decided to give a dynamic-size and fixed-size program
side-by-side, so that we still have only two examples.