pydda.cost_functions.grad_J#

pydda.cost_functions.grad_J(winds, parameters)[source]#

Calculates the gradient of the cost function. This typically does not need to be called directly as get_dd_wind_field is a wrapper around this function and pydda.cost_functions.J_function(). In order to add more terms to the cost function, modify this function and pydda.cost_functions.grad_J().

Parameters:

  • winds (1-D float array) – The wind field, flattened to 1-D for f_min

  • parameters (DDParameters) – The parameters for the cost function evaluation as specified by the pydda.retrieve.DDParameters() class.

Returns:

grad (1D float array) – Gradient vector of cost function

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