SET_OPTIMIZING_CONDITION

This command is for the PARROT module.

Specify the conditions for the optimization. The default values are chosen automatically by the PARROT program, and in most cases these should not be changed.

The optimization stops when the sum of errors decreases by this value, even though it might be possible to increase it further with a new OPTIMIZE command.

Syntax	set_optimizing_condition
	Relative standard deviation for experiments? /N/: By default the standard deviation of the experimental determinations are absolute values. Enter Y if these are used as relative weighting factors. The estimated standard deviations of the optimized variables might be different for the two cases.
Prompt	Min save on file? /Y/: Specify whether the program should minimize the transfer of data to and from the current work file during the optimization: If the default (N) is kept, the workspaces are stored on the current work file after every iteration in the optimization procedure. Enter Y to speed up the optimization. After optimization use the SAVE_PARROT_WORKSPACES command to update the progress onto the current work file.
	Relative step for calculation of derivatives: /1e-04/: <xxx> In the calculation of the correlation matrix for equilibria with inaccuracy in the independent state variables, some numerical derivatives might have to be calculated. Specify the relative step (`xxx`) for the calculation of these derivatives.
	Maxfun (va05ad): /100/: <n> The maximum number of iterations in the optimization. The same value set by the OPTIMIZE command.
	Dmax (va05ad): /100/: <n> An estimate of the maximum distance between the start and the final values of the variables. A smaller value makes the program vary the parameters with smaller factors.
	H (va05ad): /1e-04/: <xxx> The step used in the scaled variables for calculating numerical derivatives during the optimization.
	Acc/(initial sum of squares) (va05ad): /.001/: <xxx> The break condition for the optimization. The accepted value is the difference between the true minimum and the calculated one.