Package PyDSTool :: Package Toolbox :: Package optimizers :: Package helpers
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Package helpers

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Helper functions

Fitting functions :

NB : the first dimension of the cost, gradient or hessian is the number of points to fit, the second is the dimension of the point if there is one. This leads to the fact that the gradient returns in fact the jacobian of the function.

Finite Difference functions :

Submodules [hide private]

Classes [hide private]
  Quadratic
Defines a cost function with a quadratic cost
  CenteredFiniteDifferences
A function that will be able to computes its derivatives with a centered difference formula
  ForwardFiniteDifferencesCache
A function that will be able to computes its derivatives with a forward difference formula.
  ForwardFiniteDifferences
A function that will be able to computes its derivatives with a forward difference formula
  FiniteDifferencesFunction
Variables [hide private]
  helpers__all__ = ['Quadratic', 'FiniteDifferencesFunction', 'F...
Variables Details [hide private]

helpers__all__

Value:
['Quadratic',
 'FiniteDifferencesFunction',
 'ForwardFiniteDifferences',
 'CenteredFiniteDifferences',
 'ForwardFiniteDifferencesCache']