MomentGauge.Optim.BaseOptimizer

Module Contents

Classes

BaseOptimizer

The base class for optimizer

class MomentGauge.Optim.BaseOptimizer.BaseOptimizer(target_function, **kwargs)

The base class for optimizer

Parameters:

• target_function (function) –

  the function to be optimized by the Netwons method whose

  Parameters:

  input_para : float array of shape (n) - The parameter to be optimized

  \(*\) aux_paras : - Arbitrary many extra parameters not to be optimized. The \(*\) refers to the unpacking operator in python.

  Returns:

  float – the function value

• **kwargs (other key word arguments.) –

abstract optimize(input_para, *aux_paras)

optimization of the target_function

Parameters:

• input_para (float array of shape (n)) – the input parameters for the target_function to be optimized.

• *aux_paras – Arbitrary many extra parameters not to be optimized for the target_function.

Returns:

A tuple containing

opt_para: float array of shape (n) - The optimized parameters.

opt_info: tuple - A tuple containing other information

Return type:

Tuple