Commit cc14e3f9 authored by Davis King's avatar Davis King

Moved all the optimization stuff into its own page.

--HG--
rename : docs/docs/algorithms.xml => docs/docs/optimization.xml
extra : convert_revision : svn%3Afdd8eb12-d10e-0410-9acb-85c331704f74/trunk%403478
parent becd071a
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......@@ -222,7 +222,7 @@
</ul><br/>
</li>
<li> <i>Introduction to Derivative-Free Optimization</i> by Conn, Scheinberg, and Vicente
<ul> If you want to understand algorithms like <a href="algorithms.html#find_min_bobyqa">BOBYQA</a>
<ul> If you want to understand algorithms like <a href="optimization.html#find_min_bobyqa">BOBYQA</a>
then this is a good recent book on the subject. Note that a book like <i>Practical Methods of Optimization</i>
is almost certainly a prerequisite for reading this book. As an aside, BOBYQA is not discussed in this book but
its predecessor, NEWUOA is.
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......@@ -109,11 +109,11 @@
<a href="dlib/matrix/matrix_utilities_abstract.h.html#trans">transpose</a>,
<a href="dlib/matrix/matrix_math_functions_abstract.h.html#sin">trig functions</a>, etc.</li>
<li>Unconstrained non-linear optimization algorithms using the
<a href="algorithms.html#cg_search_strategy">conjugate gradient</a>,
<a href="algorithms.html#bfgs_search_strategy">BFGS</a>, and
<a href="algorithms.html#lbfgs_search_strategy">L-BFGS</a> techniques</li>
<a href="optimization.html#cg_search_strategy">conjugate gradient</a>,
<a href="optimization.html#bfgs_search_strategy">BFGS</a>, and
<a href="optimization.html#lbfgs_search_strategy">L-BFGS</a> techniques</li>
<li>Box-constrained derivative-free optimization via the
<a href="algorithms.html#find_min_bobyqa">BOBYQA</a> algorithm</li>
<a href="optimization.html#find_min_bobyqa">BOBYQA</a> algorithm</li>
<li>A <a href="algorithms.html#bigint">big integer</a> object</li>
<li>A <a href="algorithms.html#rand">random number</a> object</li>
</ul>
......
......@@ -10,6 +10,11 @@
<link>algorithms.html</link>
<chm_sub>algorithms.xml</chm_sub>
</item>
<item>
<name>Optimization</name>
<link>optimization.html</link>
<chm_sub>optimization.xml</chm_sub>
</item>
<item>
<name>Machine Learning</name>
<link>ml.html</link>
......@@ -31,7 +36,7 @@
<chm_sub>api.xml</chm_sub>
</item>
<item>
<name>Network</name>
<name>Networking</name>
<link>network.html</link>
<chm_sub>network.xml</chm_sub>
</item>
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......@@ -32,27 +32,27 @@
<term file="dlib/optimization/optimization_line_search_abstract.h.html" name="optimize_single_variable_failure"/>
<term file="dlib/optimization/optimization_bobyqa_abstract.h.html" name="bobyqa_failure"/>
<term file="algorithms.html" name="derivative"/>
<term file="algorithms.html" name="make_line_search_function"/>
<term file="algorithms.html" name="poly_min_extrap"/>
<term file="algorithms.html" name="lagrange_poly_min_extrap"/>
<term file="algorithms.html" name="line_search"/>
<term file="algorithms.html" name="find_min"/>
<term file="algorithms.html" name="find_min_single_variable"/>
<term file="algorithms.html" name="find_min_using_approximate_derivatives"/>
<term file="algorithms.html" name="find_min_bobyqa"/>
<term file="algorithms.html" name="solve_qp_using_smo"/>
<term link="algorithms.html#find_min_bobyqa" name="BOBYQA"/>
<term file="algorithms.html" name="find_max"/>
<term file="algorithms.html" name="find_max_single_variable"/>
<term file="algorithms.html" name="find_max_using_approximate_derivatives"/>
<term file="algorithms.html" name="find_max_bobyqa"/>
<term file="algorithms.html" name="objective_delta_stop_strategy"/>
<term file="algorithms.html" name="gradient_norm_stop_strategy"/>
<term file="algorithms.html" name="negate_function"/>
<term file="algorithms.html" name="cg_search_strategy"/>
<term file="algorithms.html" name="bfgs_search_strategy"/>
<term file="algorithms.html" name="lbfgs_search_strategy"/>
<term file="optimization.html" name="derivative"/>
<term file="optimization.html" name="make_line_search_function"/>
<term file="optimization.html" name="poly_min_extrap"/>
<term file="optimization.html" name="lagrange_poly_min_extrap"/>
<term file="optimization.html" name="line_search"/>
<term file="optimization.html" name="find_min"/>
<term file="optimization.html" name="find_min_single_variable"/>
<term file="optimization.html" name="find_min_using_approximate_derivatives"/>
<term file="optimization.html" name="find_min_bobyqa"/>
<term file="optimization.html" name="solve_qp_using_smo"/>
<term link="optimization.html#find_min_bobyqa" name="BOBYQA"/>
<term file="optimization.html" name="find_max"/>
<term file="optimization.html" name="find_max_single_variable"/>
<term file="optimization.html" name="find_max_using_approximate_derivatives"/>
<term file="optimization.html" name="find_max_bobyqa"/>
<term file="optimization.html" name="objective_delta_stop_strategy"/>
<term file="optimization.html" name="gradient_norm_stop_strategy"/>
<term file="optimization.html" name="negate_function"/>
<term file="optimization.html" name="cg_search_strategy"/>
<term file="optimization.html" name="bfgs_search_strategy"/>
<term file="optimization.html" name="lbfgs_search_strategy"/>
<term file="bayes.html" name="set_node_value"/>
<term file="bayes.html" name="node_value"/>
......
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