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Workspace Method doit_conv_flagLsq

Description

DOIT convergence test (least squares).

As doit_conv_flagAbsBT but applies a least squares convergence
test between two successive iteration fields.

Warning: This method is not recommended because this kind of
convergence test is not sufficiently strict, so that the
DOIT result might be wrong.

Authors: Claudia Emde

Synopsis

doit_conv_flagLsq(

doit_conv_flag, doit_iteration_counter, doit_i_field, doit_i_field_old, f_grid, f_index, epsilon, max_iterations, nonconv_return_nan )

Variables

OUT+IN	doit_conv_flag	(Index)	Flag for the convergence test.
OUT+IN	doit_iteration_counter	(Index)	Counter for number of iterations.
OUT+IN	doit_i_field	(Tensor6)	Radiation field.
IN	doit_i_field_old	(Tensor6)	Intensity field inside the cloudbox.
IN	f_grid	(Vector)	The frequency grid for monochromatic pencil beam calculations.
IN	f_index	(Index)	Frequency index.
GIN	epsilon	(Vector)	Limits for convergence. A vector with length matching stokes_dim with unit [K].
GIN	max_iterations	(Index, Default: 100)	Maximum number of iterations allowed to reach convergencelimit.
GIN	nonconv_return_nan	(Index, Default: 0)	Flag whether to accept result at max_iterations (0=default)or whether to return NaNs in case of non-convergence atmax_iterations