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Documentation for a8af29bf65
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@@ -209,11 +209,12 @@ solve-a-rat-in-a-maze-c-java-pytho/" target="_blank">Rat in a Maze</a> algorithm
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<tr id="row_11_5_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icondoc"></span><a class="el" href="d8/d7a/sha1_8cpp.html" target="_self">sha1.cpp</a></td><td class="desc">Simple C++ implementation of the <a href="https://en.wikipedia.org/wiki/SHA-1" target="_blank">SHA-1 Hashing Algorithm</a> </td></tr>
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<tr id="row_12_" class="even"><td class="entry"><span style="width:0px;display:inline-block;"> </span><span id="arr_12_" class="arrow" onclick="toggleFolder('12_')">►</span><span id="img_12_" class="iconfclosed" onclick="toggleFolder('12_')"> </span><a class="el" href="dir_3343723ae086de42ee4ca9774da3a13f.html" target="_self">machine_learning</a></td><td class="desc"></td></tr>
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<tr id="row_12_0_" class="odd" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icondoc"></span><a class="el" href="d5/db0/adaline__learning_8cpp.html" target="_self">adaline_learning.cpp</a></td><td class="desc"><a href="https://en.wikipedia.org/wiki/ADALINE" target="_blank">Adaptive Linear Neuron (ADALINE)</a> implementation </td></tr>
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<tr id="row_12_1_" class="odd" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icondoc"></span><a class="el" href="d4/def/kohonen__som__topology_8cpp.html" target="_self">kohonen_som_topology.cpp</a></td><td class="desc"><a href="https://en.wikipedia.org/wiki/Self-organizing_map" target="_blank">Kohonen self organizing map</a> (topological map) </td></tr>
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<tr id="row_12_2_" class="odd" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icondoc"></span><a class="el" href="d9/d49/kohonen__som__trace_8cpp.html" target="_self">kohonen_som_trace.cpp</a></td><td class="desc"><a href="https://en.wikipedia.org/wiki/Self-organizing_map" target="_blank">Kohonen self organizing map</a> (data tracing) </td></tr>
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<tr id="row_12_3_" class="odd" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icondoc"></span><a class="el" href="d2/d58/neural__network_8cpp.html" target="_self">neural_network.cpp</a></td><td class="desc">Implementation of [Multilayer Perceptron] (<a href="https://en.wikipedia.org/wiki/Multilayer_perceptron">https://en.wikipedia.org/wiki/Multilayer_perceptron</a>) </td></tr>
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<tr id="row_12_4_" class="odd" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icondoc"></span><a class="el" href="dc/d38/ordinary__least__squares__regressor_8cpp.html" target="_self">ordinary_least_squares_regressor.cpp</a></td><td class="desc">Linear regression example using <a href="https://en.wikipedia.org/wiki/Ordinary_least_squares" target="_blank">Ordinary least squares</a> </td></tr>
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<tr id="row_12_5_" class="odd" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a href="d8/d95/vector__ops_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="d8/d95/vector__ops_8hpp.html" target="_self">vector_ops.hpp</a></td><td class="desc">Various functions for vectors associated with [NeuralNetwork (aka Multilayer Perceptron)] (<a href="https://en.wikipedia.org/wiki/Multilayer_perceptron">https://en.wikipedia.org/wiki/Multilayer_perceptron</a>) </td></tr>
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<tr id="row_12_1_" class="odd" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icondoc"></span><a class="el" href="d4/d3e/k__nearest__neighbors_8cpp.html" target="_self">k_nearest_neighbors.cpp</a></td><td class="desc">Implementation of [K-Nearest Neighbors algorithm] (<a href="https://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm">https://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm</a>) </td></tr>
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<tr id="row_12_2_" class="odd" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icondoc"></span><a class="el" href="d4/def/kohonen__som__topology_8cpp.html" target="_self">kohonen_som_topology.cpp</a></td><td class="desc"><a href="https://en.wikipedia.org/wiki/Self-organizing_map" target="_blank">Kohonen self organizing map</a> (topological map) </td></tr>
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<tr id="row_12_3_" class="odd" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icondoc"></span><a class="el" href="d9/d49/kohonen__som__trace_8cpp.html" target="_self">kohonen_som_trace.cpp</a></td><td class="desc"><a href="https://en.wikipedia.org/wiki/Self-organizing_map" target="_blank">Kohonen self organizing map</a> (data tracing) </td></tr>
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<tr id="row_12_4_" class="odd" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icondoc"></span><a class="el" href="d2/d58/neural__network_8cpp.html" target="_self">neural_network.cpp</a></td><td class="desc">Implementation of [Multilayer Perceptron] (<a href="https://en.wikipedia.org/wiki/Multilayer_perceptron">https://en.wikipedia.org/wiki/Multilayer_perceptron</a>) </td></tr>
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<tr id="row_12_5_" class="odd" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icondoc"></span><a class="el" href="dc/d38/ordinary__least__squares__regressor_8cpp.html" target="_self">ordinary_least_squares_regressor.cpp</a></td><td class="desc">Linear regression example using <a href="https://en.wikipedia.org/wiki/Ordinary_least_squares" target="_blank">Ordinary least squares</a> </td></tr>
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<tr id="row_12_6_" class="odd" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><a href="d8/d95/vector__ops_8hpp_source.html"><span class="icondoc"></span></a><a class="el" href="d8/d95/vector__ops_8hpp.html" target="_self">vector_ops.hpp</a></td><td class="desc">Various functions for vectors associated with [NeuralNetwork (aka Multilayer Perceptron)] (<a href="https://en.wikipedia.org/wiki/Multilayer_perceptron">https://en.wikipedia.org/wiki/Multilayer_perceptron</a>) </td></tr>
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<tr id="row_13_" class="odd"><td class="entry"><span style="width:0px;display:inline-block;"> </span><span id="arr_13_" class="arrow" onclick="toggleFolder('13_')">►</span><span id="img_13_" class="iconfclosed" onclick="toggleFolder('13_')"> </span><a class="el" href="dir_296d53ceaeaa7e099814a6def439fe8a.html" target="_self">math</a></td><td class="desc"></td></tr>
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<tr id="row_13_0_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icondoc"></span><a class="el" href="de/d99/aliquot__sum_8cpp.html" target="_self">aliquot_sum.cpp</a></td><td class="desc">Program to return the <a href="https://en.wikipedia.org/wiki/Aliquot_sum" target="_blank">Aliquot Sum</a> of a number </td></tr>
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<tr id="row_13_1_" class="even" style="display:none;"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icondoc"></span><a class="el" href="d0/d51/approximate__pi_8cpp.html" target="_self">approximate_pi.cpp</a></td><td class="desc">Implementation to calculate an estimate of the <a href="https://en.wikipedia.org/wiki/File:Pi_30K.gif" target="_blank">number π (Pi)</a> </td></tr>
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