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<!DOCTYPE html>
<html lang="en">
<head>
<title>CVX VS PP</title>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/4.4.1/css/bootstrap.min.css">
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.4.1/jquery.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/popper.js/1.16.0/umd/popper.min.js"></script>
<script src="https://maxcdn.bootstrapcdn.com/bootstrap/4.4.1/js/bootstrap.min.js"></script>
</head>
<body>
<div class="container">
<h1>CVX Vs. Proximal Point Comparison Report</h1>
<p>This report presents a comparison between the CVX and the Proximal Point algorithms over different problems.</p>
<p>In the table below the used Proximal Point parameters are displayed:</p>
<table class="table table-striped">
<thead class="text-center bg-info">
<th>Name</th>
<th>Value</th>
</thead>
<tbody class="text-center">
<tr>
<td>eps_pp</td>
<td>0.01</td>
</tr>
<tr>
<td>eps_dj</td>
<td>1e-05</td>
</tr>
<tr>
<td>max_iter_pp</td>
<td>15</td>
</tr>
<tr>
<td>max_iter_dj</td>
<td>100000.0</td>
</tr>
<tr>
<td>gamma_0</td>
<td>10</td>
</tr>
</tbody>
</table>
<p>
The table below represents an overview of how the 2 algorithms run. You can
see that there are multiple comparison points that can be taken into consideration.
</p>
<table class="table table-striped">
<thead class="bg-info text-center">
<tr>
<th>#</th>
<th>Problem Name</th>
<th>Algorithm Name</th>
<th>Iters.</th>
<th>Min. Value</th>
<th>Time (s)</th>
</tr>
</thead>
<tbody class="text-center">
<tr>
<td bgcolor="#bad6d3" rowspan="2"><strong>1</strong></td>
<td bgcolor="#bad6d3" rowspan="2"><strong>multiple_sol_dense_small_6</strong></td>
<td>PP</td>
<td>11</td>
<td>0.3354399911485786</td>
<td>0:00:31.509262</td>
</tr>
<tr>
<td>CVX</td>
<td>15</td>
<td>0.3354458482028282</td>
<td>0:00:00.037319</td>
</tr>
<tr>
<td bgcolor="#bad6d3" rowspan="2"><strong>2</strong></td>
<td bgcolor="#bad6d3" rowspan="2"><strong>unique_sol_dense_small_4</strong></td>
<td>PP</td>
<td>4</td>
<td>0.6850786922692785</td>
<td>0:00:00.911517</td>
</tr>
<tr>
<td>CVX</td>
<td>5</td>
<td>0.6850876873215909</td>
<td>0:00:00.026850</td>
</tr>
<tr>
<td bgcolor="#bad6d3" rowspan="2"><strong>3</strong></td>
<td bgcolor="#bad6d3" rowspan="2"><strong>unique_sol_dense_small_5</strong></td>
<td>PP</td>
<td>4</td>
<td>1.395529133530309</td>
<td>0:00:05.991538</td>
</tr>
<tr>
<td>CVX</td>
<td>5</td>
<td>1.3955468158633706</td>
<td>0:00:00.035012</td>
</tr>
<tr>
<td bgcolor="#bad6d3" rowspan="2"><strong>4</strong></td>
<td bgcolor="#bad6d3" rowspan="2"><strong>unique_sol_dense_small_6</strong></td>
<td>PP</td>
<td>4</td>
<td>0.6486096482136212</td>
<td>0:00:03.154386</td>
</tr>
<tr>
<td>CVX</td>
<td>5</td>
<td>0.6486131375880895</td>
<td>0:00:00.029204</td>
</tr>
<tr>
<td bgcolor="#bad6d3" rowspan="2"><strong>5</strong></td>
<td bgcolor="#bad6d3" rowspan="2"><strong>unique_sol_dense_small_7</strong></td>
<td>PP</td>
<td>4</td>
<td>1.5662368394481925</td>
<td>0:00:18.417370</td>
</tr>
<tr>
<td>CVX</td>
<td>5</td>
<td>1.5662374187078665</td>
<td>0:00:00.042398</td>
</tr>
</tbody>
</table>
</div>
</body>
</html>