Top-rated recipes tagged "optimisation"http://code.activestate.com/recipes/tags/optimisation/top/2012-04-27T02:10:56-07:00ActiveState Code RecipesDecorator for BindingConstants at compile time (Python)
2009-09-15T00:34:37-07:00Gabriel Genellinahttp://code.activestate.com/recipes/users/924636/http://code.activestate.com/recipes/576904-decorator-for-bindingconstants-at-compile-time/
<p style="color: grey">
Python
recipe 576904
by <a href="/recipes/users/924636/">Gabriel Genellina</a>
(<a href="/recipes/tags/optimisation/">optimisation</a>, <a href="/recipes/tags/optimization/">optimization</a>, <a href="/recipes/tags/programs/">programs</a>).
</p>
<p>Decorator for automatic code optimization. If a global is known at compile time, replace it with a constant. Fold tuples of constants into a single constant. Fold constant attribute lookups into a single constant.</p>
<p>This is only an update of <a href="http://code.activestate.com/recipes/277940/">Recipe 277940</a>, making it compatible with Python 3. All credit must go to the original author, Raymond Hettinger.</p>
Stepping stone algorithum for solving the transhipment problem (Python)
2008-11-29T10:40:47-08:00James Coliinshttp://code.activestate.com/recipes/users/4167379/http://code.activestate.com/recipes/576575-stepping-stone-algorithum-for-solving-the-tranship/
<p style="color: grey">
Python
recipe 576575
by <a href="/recipes/users/4167379/">James Coliins</a>
(<a href="/recipes/tags/optimisation/">optimisation</a>).
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<p>The transhipment problem is to minimise the cost of transporting goods between various sources and destinations.</p>
Taxi Fare Splitter (Python)
2012-04-27T02:10:56-07:00James Coliinshttp://code.activestate.com/recipes/users/4167379/http://code.activestate.com/recipes/578115-taxi-fare-splitter/
<p style="color: grey">
Python
recipe 578115
by <a href="/recipes/users/4167379/">James Coliins</a>
(<a href="/recipes/tags/barganing/">barganing</a>, <a href="/recipes/tags/maths/">maths</a>, <a href="/recipes/tags/optimisation/">optimisation</a>).
</p>
<p>A method for allocating costs 'fairly' amongst a group of friends who cooperate to their mutual advantage.</p>