Warning Model Class
Type: Selection
Range: The settings listed below
Default: Common_warning_default
This option determines what happens when the type of mathematical program does not correspond to the model class, depending on the following settings:
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Do not issue a warning. |
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Issue a warning and post it to the global error and warning collector. |
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Take action depending on the option ‘Common warning default’. |
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Issue a warning and post it to the nearest error handler. |
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Take action depending on the option ‘Strict warning default’. |
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Issue an error. |
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In a developer system same as Error, in a deployment system same as Warning_handle |
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In a developer system same as Error, in a deployment system same as Off |
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In a developer system same as Warning_handle, in a deployment system same as Off |
For example, this situation arises when a linear model is declared as “nlp”.
Note
If this option is set to “Off” or “Warning”, the mathematical program will be solved using the specified model class.
With the option Maximal Number of Warnings Reported you can set the maximal number of warnings that are shown in errors/warnings and message window.
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