Re: [eigen] Using Eigen::Map to use eigen operations on my data

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another thing:

if the only reason why you need Map's is to address a plain array that
you can pass to another library, wouldn't it be simpler to just use a
MatrixXf (allocating its own data) and then use the .data() method to
address its data?

e.g. in OpenGL apps:

glLoadMatrix( );

The use case for using Map, though, is e.g. if the data array was
allocated by the other library.

2009/10/29 Benoit Jacob <jacob.benoit.1@xxxxxxxxx>:
> 2009/10/29 Benoit Jacob <jacob.benoit.1@xxxxxxxxx>:
>> 2009/10/29 Robert Lupton the Good <rhl@xxxxxxxxxxxxxxxxxxx>:
>>>>>   float data[4] = { 1, 2, 3, 4 };
>>>>>   MatrixXf mat2x2 = MatrixXf(Map<MatrixXf>(data, 2, 2));
>>>> Here you are constructing a new MatrixXf, mat2x2, from the map.
>>>> after this line, mat2x2 is just another matrix and doesn't even
>>>> remember that it was copied from the Map.
>>> I realised that that must be the problem, but the documentation implied (to
>>> me) that it ought to work:
>>>> Map
>>>> Any memory buffer can be mapped as an Eigen expression:
>>> ...
>>>> int data[4] = 1, 2, 3, 4;
>>>> MatrixXi mat2x2 = Map<MatrixXi>(data,2,2);
>>> Whereas this is in fact performing a copy.
>>>> If you want to initialize an array as the identity matrix, do:
>>>> Map<MatrixXf>(data, 2, 2).setIdentity();
>>> No, that's just the example.  I'm actually working on a swig interface from
>>> numpy, based on the one in rikrd-loudia
>>>> if you want to write your own function, make it like this:
>>>> template<typename Derived>
>>>> void identity(MatrixBase<Derived> *x)
>>> Now I'm confused.  I want a MatrixXf that shares memory with data[] that I
>>> can pass to a pre-existing library.  How does this help?
>> A MatrixXf allocates its own buffer. If you want to have an object
>> that shares memory with data[] and can be used like a MatrixXf, then
>> Map<MatrixXf> is exactly that.
>> What is this pre-existing library you're talking about? Do you have
>> control over it? If that library will only take a MatrixXf, and you
>> want to use it on preexisting data, then it needs to be adapted to
>> take a MatrixBase<Derived> instead.
> oh, i understand what you meant now: you want to map existing data
> that you can pass to a preexisting library.
> ok so here's how you do that.
> // allocate plain array
> float data = new float[n];
> // to use Eigen on your data:
> MatrixXf::Map(data,n).setIdentity(); // can use any Eigen function here
> some_preexisting_library_function(data);
> and so on...
> so Map is all you need.
> If you want to write a function that works with both MatrixXf and Map,
> let it take a MatrixBase as I explained above.
> Benoit

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