Package optimizer

source code

Module containing the core optimizers

Optimizers :

Optimizer
- a skeletton for defining a custom optimizer
- calls iterate until the criterion indicates that the optimization has converged
StandardOptimizer
- takes a full step after a line search
StandardOptimizerModifying
- takes a full step after a line search
- modifies the resulting parameters

Submodules

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PyDSTool.Toolbox.optimizers.optimizer.optimizer: The core optimizer from which every other optimizer is derived
PyDSTool.Toolbox.optimizers.optimizer.standard_optimizer: A standard optimizer
PyDSTool.Toolbox.optimizers.optimizer.standard_optimizer_modifying: A standard optimizer with a special object that modifies the resulting set of parameters

Classes

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StandardOptimizer
A standard optimizer, takes a step and finds the best candidate Must give in self.optimalPoint the optimal point after optimization

StandardOptimizerModifying
A standard optimizer, takes a step and finds the best candidate Must give in self.optimalPoint the optimal point after optimization After each iteration the resulting optimization point is modified by a call to a function

Variables

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optimizer__all__ = ['StandardOptimizer', 'StandardOptimizerMod...

Variables Details

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optimizerall

Value:

['StandardOptimizer', 'StandardOptimizerModifying']