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updated the docs 

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Davis King 2008-12-04 03:30:56 +00:00
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commit 98020b5575
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docs/docs/containers.xml
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@ -702,7 +702,7 @@
<p>
Note that there is only one implementation of this object so there aren't any
different kernels to choose from when you create instances of the matrix object.
different kernels to choose from when you create instances of the tuple object.
So for example, you
could declare a tuple of 3 ints using the following statement:
<tt>dlib::tuple&lt;int,int,int&gt; t;</tt>
@ -1303,18 +1303,6 @@
could declare a matrix of 2 rows and 3 columns using the following statement:
<tt>dlib::matrix&lt;float,2,3&gt; m;</tt>
</p>
<p>
It should also be noted that matrix multiplication is fastest when the two matrices
being multiplied are not complex matrix_exp objects returned from other expressions
(such as other matrix multiplies). This is because the matrix multiply operator will
evaluate each element of the matrices it is multiplying many times, and a matrix_exp
computes its elements' values each time they are queried. However, the matrix multiply
operator is the only one that evaluates its argument's elements multiple times so you can
stack up all the other operators however you want without any performance penalty. If
you want to multiply two complex matrix_exp expressions together you can easily convert them into
fully evaluated temporary matrix objects by using the tmp() function. For example, to
multiply four matrices together you should use an expression such as <tt>result = tmp(a*b)*tmp(c*d);</tt>
</p>
</description>
<examples>