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authorEgor Tensin <Egor.Tensin@gmail.com>2016-04-21 10:41:46 +0300
committerEgor Tensin <Egor.Tensin@gmail.com>2016-04-21 10:41:46 +0300
commit4623dc66e854418f6e555065477ca619a9a0ff7e (patch)
tree0b11b80dbbbb7efe7e6321e1d0af5cf38cf9ddef
parentadd .gitattributes (diff)
downloadsorting-algorithms-4623dc66e854418f6e555065477ca619a9a0ff7e.tar.gz
sorting-algorithms-4623dc66e854418f6e555065477ca619a9a0ff7e.zip
plots: update the actual plots
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diff --git a/plots.html b/plots.html
index 481056e..ff2986e 100644
--- a/plots.html
+++ b/plots.html
@@ -5,114 +5,108 @@ groups:
- navbar
navbar_link: <span class="glyphicon glyphicon-th-large"></span>&nbsp;Plots
custom_css: plots.css
-plot_kinds:
- - sorted
- - randomized
- - reversed
+input_order:
+ - ascending
+ - random
+ - descending
plots:
- - codename: bubble
+ - codename: bubble_sort
brief_name: Bubble sort
display_name: Bubble sort
min_length: 0
max_length: 200
- repetitions:
- sorted: 1000
- randomized: 100
- reversed: 100
+ iterations: 100
complexity:
- sorted: O(<var>n</var>)
- randomized: O(<var>n</var><sup>2</sup>)
- reversed: O(<var>n</var><sup>2</sup>)
- - codename: bubble_optimized
+ ascending: O(<var>n</var>)
+ random: O(<var>n</var><sup>2</sup>)
+ descending: O(<var>n</var><sup>2</sup>)
+ - codename: bubble_sort_optimized
brief_name: "&hellip; \"optimized\""
display_name: "\"Optimized\" bubble sort"
min_length: 0
max_length: 200
- repetitions:
- sorted: 1000
- randomized: 100
- reversed: 100
+ iterations: 100
complexity:
- sorted: O(<var>n</var>)
- randomized: O(<var>n</var><sup>2</sup>)
- reversed: O(<var>n</var><sup>2</sup>)
- - codename: heap
+ ascending: O(<var>n</var>)
+ random: O(<var>n</var><sup>2</sup>)
+ descending: O(<var>n</var><sup>2</sup>)
+ - codename: heapsort
brief_name: Heapsort
display_name: Heapsort
min_length: 0
max_length: 200
- repetitions: 100
+ iterations: 100
complexity: O(<var>n</var> log <var>n</var>)
- - codename: insertion
+ - codename: insertion_sort
brief_name: Insertion sort
display_name: Insertion sort
min_length: 0
max_length: 200
- repetitions:
- sorted: 1000
- randomized: 100
- reversed: 100
+ iterations:
+ ascending: 1000
+ random: 100
+ descending: 100
complexity:
- sorted: O(<var>n</var>)
- randomized: O(<var>n</var><sup>2</sup>)
- reversed: O(<var>n</var><sup>2</sup>)
- - codename: merge
+ ascending: O(<var>n</var>)
+ random: O(<var>n</var><sup>2</sup>)
+ descending: O(<var>n</var><sup>2</sup>)
+ - codename: merge_sort
brief_name: Merge sort
display_name: Merge sort
min_length: 0
max_length: 200
- repetitions: 100
+ iterations: 1000
complexity: O(<var>n</var> log <var>n</var>)
- - codename: quick_first
+ - codename: quicksort_first
brief_name: Quicksort (first element as pivot)
display_name: Quicksort (first element as pivot)
min_length: 0
max_length: 200
- repetitions: 100
+ iterations: 100
complexity:
- sorted: O(<var>n</var><sup>2</sup>)
- randomized: O(<var>n</var> log <var>n</var>)
- reversed: O(<var>n</var><sup>2</sup>)
- - codename: quick_second
+ ascending: O(<var>n</var><sup>2</sup>)
+ random: O(<var>n</var> log <var>n</var>)
+ descending: O(<var>n</var><sup>2</sup>)
+ - codename: quicksort_second
brief_name: "&hellip; second element&hellip;"
display_name: Quicksort (second element as pivot)
min_length: 0
max_length: 200
- repetitions: 100
+ iterations: 100
complexity:
- sorted: O(<var>n</var><sup>2</sup>)
- randomized: O(<var>n</var> log <var>n</var>)
- reversed: O(<var>n</var><sup>2</sup>)
- - codename: quick_middle
+ ascending: O(<var>n</var><sup>2</sup>)
+ random: O(<var>n</var> log <var>n</var>)
+ descending: O(<var>n</var><sup>2</sup>)
+ - codename: quicksort_middle
brief_name: "&hellip; middle element&hellip;"
display_name: Quicksort (middle element as pivot)
min_length: 0
max_length: 200
- repetitions: 100
+ iterations: 100
complexity: O(<var>n</var> log <var>n</var>)
- - codename: quick_last
+ - codename: quicksort_last
brief_name: "&hellip; last element&hellip;"
display_name: Quicksort (last element as pivot)
min_length: 0
max_length: 200
- repetitions: 100
+ iterations: 100
complexity:
- sorted: O(<var>n</var><sup>2</sup>)
- randomized: O(<var>n</var> log <var>n</var>)
- reversed: O(<var>n</var><sup>2</sup>)
- - codename: quick_random
+ ascending: O(<var>n</var><sup>2</sup>)
+ random: O(<var>n</var> log <var>n</var>)
+ descending: O(<var>n</var><sup>2</sup>)
+ - codename: quicksort_random
brief_name: "&hellip; random element&hellip;"
display_name: Quicksort (random element as pivot)
min_length: 0
max_length: 200
- repetitions: 100
+ iterations: 100
complexity: O(<var>n</var> log <var>n</var>)
- - codename: selection
+ - codename: selection_sort
brief_name: Selection sort
display_name: Selection sort
min_length: 0
max_length: 200
- repetitions: 100
+ iterations: 100
complexity: O(<var>n</var><sup>2</sup>)
---
<h1>Plots</h1>
@@ -134,19 +128,19 @@ to produce the plots are listed below.</p>
<table class="table table-bordered reasonable-width">
<tr>
<th>CPU</th>
- <td><a href="http://ark.intel.com/products/58917">Intel Atom N2800</a></td>
+ <td><a href="http://ark.intel.com/products/84695/Intel-Core-i3-5005U-Processor-3M-Cache-2_00-GHz">Intel Core i3-5005U</a></td>
</tr>
<tr>
<th>OS</th>
- <td>Windows 7 Professional Service Pack 1</td>
+ <td>Windows 8.1</td>
</tr>
<tr>
<th>Python</th>
- <td>3.4.1</td>
+ <td>3.5.1</td>
</tr>
<tr>
<th>matplotlib</th>
- <td>1.4.0</td>
+ <td>1.5.1</td>
</tr>
</table>
</div>
@@ -163,10 +157,9 @@ Visit <a href="https://github.com/egor-tensin/sorting_algorithms/">https://githu
<p>In short, each of the implemented algorithms was provided with three
input sequences:</p>
<ul>
- <li>a list of n consecutive numbers sorted in ascending order ("sorted"
-input),</li>
- <li>&hellip; in descending order ("reversed" input),</li>
- <li>&hellip; in random order ("randomized" input).</li>
+ <li>a list of <var>n</var> consecutive numbers sorted in ascending order,</li>
+ <li>&hellip; in descending order,</li>
+ <li>&hellip; in random order.</li>
</ul>
<p>Use the table below to quickly navigate to the plots for the
corresponding algorithm.</p>
@@ -175,11 +168,11 @@ corresponding algorithm.</p>
<thead>
<tr>
<th class="text-center" rowspan="2">Algorithm</th>
- <th class="text-center" colspan="{{ page.plot_kinds.size }}">Complexity</th>
+ <th class="text-center" colspan="{{ page.input_order.size }}">Complexity</th>
</tr>
<tr>
- {% for kind in page.plot_kinds %}
- <th class="text-center">{{ kind }}</th>
+ {% for order in page.input_order %}
+ <th class="text-center">{{ order }}</th>
{% endfor %}
</tr>
</thead>
@@ -187,8 +180,8 @@ corresponding algorithm.</p>
{% for algorithm in page.plots %}
<tr>
<td><a href="#plots_{{ algorithm.codename }}">{{ algorithm.brief_name }}</a></td>
- {% for kind in page.plot_kinds %}
- <td>{% if algorithm.complexity[kind] %}{{ algorithm.complexity[kind] }}{% else %}{{ algorithm.complexity }}{% endif %}</td>
+ {% for order in page.input_order %}
+ <td>{% if algorithm.complexity[order] %}{{ algorithm.complexity[order] }}{% else %}{{ algorithm.complexity }}{% endif %}</td>
{% endfor %}
</tr>
{% endfor %}
@@ -201,25 +194,25 @@ corresponding algorithm.</p>
<a id="plots_{{ algorithm.codename }}"></a>
<h3>{{ algorithm.display_name }}</h3>
<div class="row">
- {% for kind in page.plot_kinds %}
- {% if algorithm.repetitions[kind] %}
- {% assign repetitions = algorithm.repetitions[kind] %}
- {% else %}
- {% assign repetitions = algorithm.repetitions %}
- {% endif %}
- {% capture stem %}{{ algorithm.codename }}_{{ repetitions }}_{{ kind }}_{{ algorithm.min_length }}_{{ algorithm.max_length }}{% endcapture %}
- <div class="col-xs-12 col-sm-6 col-md-4">
- <div class="thumbnail">
- <a class="thumbnail" href="{{ site.baseurl }}/img/plots/full_size/{{ stem }}.png">
- <img class="img-responsive" src="{{ site.baseurl }}/img/plots/previews/{{ stem }}.jpg"/>
- </a>
- <div class="caption">
- <strong>{{ algorithm.display_name }}</strong><br/>
- <strong>Input:</strong> {{ kind }}<br/>
- <strong>Complexity:</strong> {% if algorithm.complexity[kind] %}{{ algorithm.complexity[kind] }}{% else %}{{ algorithm.complexity }}{% endif %}<br/>
+ {% for order in page.input_order %}
+ {% if algorithm.iterations[order] %}
+ {% assign iterations = algorithm.iterations[order] %}
+ {% else %}
+ {% assign iterations = algorithm.iterations %}
+ {% endif %}
+ {% capture stem %}{{ algorithm.codename }}_{{ iterations }}_{{ order }}_{{ algorithm.min_length }}_{{ algorithm.max_length }}{% endcapture %}
+ <div class="col-xs-12 col-sm-6 col-md-4">
+ <div class="thumbnail">
+ <a class="thumbnail" href="{{ site.baseurl }}/img/plots/full_size/{{ stem }}.png">
+ <img class="img-responsive" src="{{ site.baseurl }}/img/plots/previews/{{ stem }}.png" alt="{{ algorithm.display_name | escape }}, {{ iterations }} iterations, {{ order }} input"/>
+ </a>
+ <div class="caption">
+ <strong>{{ algorithm.display_name }}</strong><br/>
+ <strong>Input:</strong> {{ order }}<br/>
+ <strong>Complexity:</strong> {% if algorithm.complexity[order] %}{{ algorithm.complexity[order] }}{% else %}{{ algorithm.complexity }}{% endif %}<br/>
+ </div>
</div>
</div>
- </div>
{% endfor %}
</div>
{% endfor %}