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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, cloudbox_field_mono, cloudbox_field_mono_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 | cloudbox_field_mono | (Tensor6) | Monochromatic radiation field inside the cloudbox. |
| IN | cloudbox_field_mono_old | (Tensor6) | As cloudbox_field_mono but from previous iteration. |
| 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 |