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Davis King 2010-09-14 01:54:50 +00:00
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docs/docs/containers.xml
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@ -1805,13 +1805,13 @@
construct and return a temporary matrix object but using this technique
we can avoid creating all these temporary objects and receive a large speed boost.
<p>
This object is also capable of using BLAS libraries such as ATLAS or the Intel
MKL when available. To enable this feature all you have to do is #define
This object is also capable of using BLAS and LAPACK libraries such as ATLAS or the Intel
MKL when available. To enable BLAS support all you have to do is #define
DLIB_USE_BLAS and then make sure you link your application with your
BLAS library. Additionally, the use of BLAS is transparent to the user, that is, the
dlib matrix object uses BLAS internally to optimize all the various forms
of matrix multiplication while still allowing the user to use a simple MATLAB
like syntax.
BLAS library. Similarly, to enable LAPACK support just #define DLIB_USE_LAPACK and
link to your LAPACK library. Finally, the use of BLAS and LAPACK is transparent to
the user, that is, the dlib matrix object uses BLAS and LAPACK internally to optimize
various operations while still allowing the user to use a simple MATLAB like syntax.
</p>
<p>
Note that the cmake files that come with dlib know how to link a project with ATLAS or

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docs/docs/index.xml
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<li><b>Numerical Algorithms</b>
<ul>
<li>A fast <a href="containers.html#matrix">matrix</a> object implemented using the expression
templates technique and capable of using BLAS libraries when available.</li>
templates technique and capable of using BLAS and LAPACK libraries when available.</li>
<li>Numerous linear algebra and mathematical operations are defined for the matrix object such as the
<a href="dlib/matrix/matrix_la_abstract.h.html#svd">singular value decomposition</a>,
<a href="dlib/matrix/matrix_utilities_abstract.h.html#trans">transpose</a>,