:py:mod:`fragile.optimize.benchmarks`
=====================================

.. py:module:: fragile.optimize.benchmarks


Module Contents
---------------

Classes
~~~~~~~

.. autoapisummary::

   fragile.optimize.benchmarks.OptimBenchmark
   fragile.optimize.benchmarks.Sphere
   fragile.optimize.benchmarks.Rastrigin
   fragile.optimize.benchmarks.EggHolder
   fragile.optimize.benchmarks.StyblinskiTang
   fragile.optimize.benchmarks.Rosenbrock
   fragile.optimize.benchmarks.Easom
   fragile.optimize.benchmarks.HolderTable
   fragile.optimize.benchmarks.LennardJones



Functions
~~~~~~~~~

.. autoapisummary::

   fragile.optimize.benchmarks.sphere
   fragile.optimize.benchmarks.rastrigin
   fragile.optimize.benchmarks.eggholder
   fragile.optimize.benchmarks.styblinski_tang
   fragile.optimize.benchmarks.rosenbrock
   fragile.optimize.benchmarks.easom
   fragile.optimize.benchmarks.holder_table
   fragile.optimize.benchmarks._lennard_fast
   fragile.optimize.benchmarks.lennard_jones



Attributes
~~~~~~~~~~

.. autoapisummary::

   fragile.optimize.benchmarks.ALL_BENCHMARKS


.. py:function:: sphere(x)


.. py:function:: rastrigin(x)


.. py:function:: eggholder(x)


.. py:function:: styblinski_tang(x)


.. py:function:: rosenbrock(x)


.. py:function:: easom(x)


.. py:function:: holder_table(_x)


.. py:function:: _lennard_fast(state)


.. py:function:: lennard_jones(x)


.. py:class:: OptimBenchmark(dims, function, **kwargs)

   Bases: :py:obj:`fragile.core.env.Function`

   Environment that represents an arbitrary mathematical function bounded in a     given interval.

   .. py:attribute:: benchmark
      

      

   .. py:attribute:: best_state
      

      

   .. py:method:: get_bounds(dims)
      :staticmethod:
      :abstractmethod:



.. py:class:: Sphere(dims, **kwargs)

   Bases: :py:obj:`OptimBenchmark`

   Environment that represents an arbitrary mathematical function bounded in a     given interval.

   .. py:attribute:: benchmark
      

      

   .. py:method:: get_bounds(dims)
      :staticmethod:


   .. py:method:: best_state()
      :property:



.. py:class:: Rastrigin(dims, **kwargs)

   Bases: :py:obj:`OptimBenchmark`

   Environment that represents an arbitrary mathematical function bounded in a     given interval.

   .. py:attribute:: benchmark
      

      

   .. py:method:: get_bounds(dims)
      :staticmethod:


   .. py:method:: best_state()
      :property:



.. py:class:: EggHolder(dims = None, **kwargs)

   Bases: :py:obj:`OptimBenchmark`

   Environment that represents an arbitrary mathematical function bounded in a     given interval.

   .. py:attribute:: benchmark
      

      

   .. py:method:: get_bounds(dims=None)
      :staticmethod:


   .. py:method:: best_state()
      :property:



.. py:class:: StyblinskiTang(dims, **kwargs)

   Bases: :py:obj:`OptimBenchmark`

   Environment that represents an arbitrary mathematical function bounded in a     given interval.

   .. py:method:: get_bounds(dims)
      :staticmethod:


   .. py:method:: best_state()
      :property:


   .. py:method:: benchmark()
      :property:



.. py:class:: Rosenbrock(dims, **kwargs)

   Bases: :py:obj:`OptimBenchmark`

   Environment that represents an arbitrary mathematical function bounded in a     given interval.

   .. py:method:: get_bounds(dims)
      :staticmethod:


   .. py:method:: best_state()
      :property:


   .. py:method:: benchmark()
      :property:



.. py:class:: Easom(dims = None, **kwargs)

   Bases: :py:obj:`OptimBenchmark`

   Environment that represents an arbitrary mathematical function bounded in a     given interval.

   .. py:method:: get_bounds(dims)
      :staticmethod:


   .. py:method:: best_state()
      :property:


   .. py:method:: benchmark()
      :property:



.. py:class:: HolderTable(dims = None, *args, **kwargs)

   Bases: :py:obj:`OptimBenchmark`

   Environment that represents an arbitrary mathematical function bounded in a     given interval.

   .. py:method:: get_bounds(dims)
      :staticmethod:


   .. py:method:: best_state()
      :property:


   .. py:method:: benchmark()
      :property:



.. py:class:: LennardJones(n_atoms = 10, dims=None, **kwargs)

   Bases: :py:obj:`OptimBenchmark`

   Environment that represents an arbitrary mathematical function bounded in a     given interval.

   .. py:attribute:: minima
      

      

   .. py:attribute:: benchmark
      

      

   .. py:method:: get_bounds(dims)
      :staticmethod:


   .. py:method:: __reset(**kwargs)



.. py:data:: ALL_BENCHMARKS