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| -rw-r--r-- | plots.html | 229 |
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diff --git a/plots.html b/plots.html deleted file mode 100644 index f48380d..0000000 --- a/plots.html +++ /dev/null @@ -1,229 +0,0 @@ ---- -title: Plots -layout: plain -groups: - - navbar -navbar_link: <span class="glyphicon glyphicon-th-large"></span> Plots -custom_css: - - plots.css -input_kind: - - best - - average - - worst -plots: - - codename: bubble_sort - brief_name: Bubble sort - display_name: Bubble sort - min_length: 0 - max_length: 200 - iterations: 100 - complexity: - best: O(<var>n</var>) - average: O(<var>n</var><sup>2</sup>) - worst: O(<var>n</var><sup>2</sup>) - - codename: bubble_sort_optimized - brief_name: "… \"optimized\"" - display_name: "\"Optimized\" bubble sort" - min_length: 0 - max_length: 200 - iterations: 100 - complexity: - best: O(<var>n</var>) - average: O(<var>n</var><sup>2</sup>) - worst: O(<var>n</var><sup>2</sup>) - - codename: heapsort - brief_name: Heapsort - display_name: Heapsort - min_length: 0 - max_length: 200 - iterations: 100 - complexity: O(<var>n</var> log <var>n</var>) - - codename: insertion_sort - brief_name: Insertion sort - display_name: Insertion sort - min_length: 0 - max_length: 200 - iterations: 100 - complexity: - best: O(<var>n</var>) - average: O(<var>n</var><sup>2</sup>) - worst: O(<var>n</var><sup>2</sup>) - - codename: merge_sort - brief_name: Merge sort - display_name: Merge sort - min_length: 0 - max_length: 200 - iterations: 100 - complexity: O(<var>n</var> log <var>n</var>) - - codename: quicksort_first - brief_name: Quicksort (first element as pivot) - display_name: Quicksort (first element as pivot) - min_length: 0 - max_length: 200 - iterations: 100 - complexity: - best: O(<var>n</var><sup>2</sup>) - average: O(<var>n</var> log <var>n</var>) - worst: O(<var>n</var><sup>2</sup>) - - codename: quicksort_second - brief_name: "… second element…" - display_name: Quicksort (second element as pivot) - min_length: 0 - max_length: 200 - iterations: 100 - complexity: - best: O(<var>n</var><sup>2</sup>) - average: O(<var>n</var> log <var>n</var>) - worst: O(<var>n</var><sup>2</sup>) - - codename: quicksort_middle - brief_name: "… middle element…" - display_name: Quicksort (middle element as pivot) - min_length: 0 - max_length: 200 - iterations: 100 - complexity: O(<var>n</var> log <var>n</var>) - - codename: quicksort_last - brief_name: "… last element…" - display_name: Quicksort (last element as pivot) - min_length: 0 - max_length: 200 - iterations: 100 - complexity: - best: O(<var>n</var><sup>2</sup>) - average: O(<var>n</var> log <var>n</var>) - worst: O(<var>n</var><sup>2</sup>) - - codename: quicksort_random - brief_name: "… random element…" - display_name: Quicksort (random element as pivot) - min_length: 0 - max_length: 200 - iterations: 100 - complexity: O(<var>n</var> log <var>n</var>) - - codename: selection_sort - brief_name: Selection sort - display_name: Selection sort - min_length: 0 - max_length: 200 - iterations: 100 - complexity: O(<var>n</var><sup>2</sup>) ---- -<h1>{{ page.title }}</h1> - -<div class="row"> - <div class="col-xs-12 col-sm-10 col-md-8"> - <p class="text-muted">The goals of this "project" include a) familiarizing -myself with a few sorting algorithms by examining their (possibly, simplified) -implementations and b) studying the way algorithm's running time changes in -relation to the length of its input (a.k.a. identifying its time -complexity).</p> - <p class="text-muted">A simple way to visualize the way algorithm's running -time changes is to make appropriate measurements and plot them on a nice graph. -The results of course are highly dependent on the hardware used, while the -graph's look depends on the software used for rendering.</p> - <p class="text-muted">Both the hardware & the software that were used -to produce the plots are listed below.</p> - <table class="table table-bordered wide-enough"> - <tr> - <th>CPU</th> - <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 8.1</td> - </tr> - <tr> - <th>Python</th> - <td>3.5.1</td> - </tr> - <tr> - <th>matplotlib</th> - <td>1.5.1</td> - </tr> - </table> - </div> -</div> - -{% if page.plots and page.plots != empty %} -<div class="row"> - <div class="col-xs-12 col-sm-10 col-md-8"> - <p>The table & plots below are just an attempt to nicely lay out the -data generated using the code from the project repository's <code>master</code> -branch. -Visit <a href="{{ site.github.repository_url }}">{{ site.github.repository_url }}</a> for more details.</p> - - <p>Each of the implemented algorithms was provided with three input -sequences:</p> - <ul> - <li>a list of <var>n</var> consecutive numbers sorted in ascending order,</li> - <li>… in descending order,</li> - <li>… in random order.</li> - </ul> - <p>Use the table below to quickly navigate to the plots for the -corresponding algorithm.</p> - - <table class="table table-bordered table-hover"> - <thead> - <tr> - <th class="text-center" rowspan="2">Algorithm</th> - <th class="text-center" colspan="{{ page.input_kind.size }}">Complexity</th> - </tr> - <tr> - {% for input_kind in page.input_kind %} - <th class="text-center">{{ input_kind | capitalize }}</th> - {% endfor %} - </tr> - </thead> - <tbody> -{% for algorithm in page.plots %} -<tr> - <td><a href="#plots_{{ algorithm.codename }}">{{ algorithm.brief_name }}</a></td> - {% for input_kind in page.input_kind %} - {% if algorithm.complexity[input_kind] %} - {% assign complexity = algorithm.complexity[input_kind] %} - {% else %} - {% assign complexity = algorithm.complexity %} - {% endif %} - <td>{{ complexity }}</td> - {% endfor %} -</tr> -{% endfor %} - </tbody> - </table> - </div> -</div> - -{% for algorithm in page.plots %} -<a id="plots_{{ algorithm.codename }}"></a> -<h3>{{ algorithm.display_name }}</h3> -<div class="row"> - {% for input_kind in page.input_kind %} - {% if algorithm.iterations[input_kind] %} - {% assign iterations = algorithm.iterations[input_kind] %} - {% else %} - {% assign iterations = algorithm.iterations %} - {% endif %} - {% if algorithm.complexity[input_kind] %} - {% assign complexity = algorithm.complexity[input_kind] %} - {% else %} - {% assign complexity = algorithm.complexity %} - {% endif %} - {% capture stem %}{{ algorithm.codename }}_{{ iterations }}_{{ input_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/preview/{{ stem }}.png" alt="{{ algorithm.display_name | escape }}, {{ iterations }} iterations, {{ input_kind }} case"/> - </a> - <div class="caption"> - <strong>{{ algorithm.display_name }}</strong><br/> - {{ input_kind | capitalize }} case, {{ complexity }} - </div> - </div> - </div> - {% endfor %} -</div> -{% endfor %} - -{% else %} -<p class="h3">Sorry, not plots have been added yet.</p> -<hr/> -{% endif %} |