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updated docs

This commit is contained in:
Davis King 2017-03-20 16:47:26 -04:00
parent 32455ed63b
commit cc5d16d224
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26
docs/docs/optimization.xml
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@ -44,6 +44,7 @@
<name>Special Purpose Optimizers</name>
<item>find_gap_between_convex_hulls</item>
<item>solve_qp_box_constrained</item>
<item>solve_qp_box_constrained_blockdiag</item>
<item>solve_qp_using_smo</item>
<item>solve_qp2_using_smo</item>
<item>solve_qp3_using_smo</item>
@ -475,6 +476,31 @@ subject to the following constraint:
</component>
<!-- ************************************************************************* -->
<component>
<name>solve_qp_box_constrained_blockdiag</name>
<file>dlib/optimization.h</file>
<spec_file link="true">dlib/optimization/optimization_solve_qp_using_smo_abstract.h</spec_file>
<description>
This function solves the following quadratic program:
<pre>
Minimize: f(alpha) == 0.5*trans(alpha)*Q*alpha + trans(b)*alpha
subject to the following box constraints on alpha:
0 &lt;= min(alpha-lower)
0 &lt;= max(upper-alpha)
Where f is convex. This means that Q should be positive-semidefinite.
</pre>
So it does the same thing as <a href="#solve_qp_box_constrained">solve_qp_box_constrained</a>,
except it is optimized for large Q matrices with a special block
structure. In particular, Q must be grouped into identically sized
blocks where all blocks are diagonal matrices, except those on the
main diagonal which can be dense.
</description>
</component>
<!-- ************************************************************************* -->
<component>

1
docs/docs/term_index.xml
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@ -286,6 +286,7 @@
<term file="optimization.html" name="find_optimal_parameters" include="dlib/optimization/find_optimal_parameters.h"/>
<term file="optimization.html" name="elastic_net" include="dlib/optimization/elastic_net.h"/>
<term file="optimization.html" name="solve_qp_box_constrained" include="dlib/optimization.h"/>
<term file="optimization.html" name="solve_qp_box_constrained_blockdiag" include="dlib/optimization.h"/>
<term file="optimization.html" name="solve_qp_using_smo" include="dlib/optimization.h"/>
<term file="optimization.html" name="find_gap_between_convex_hulls" include="dlib/optimization.h"/>
<term file="optimization.html" name="solve_qp2_using_smo" include="dlib/optimization.h"/>