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:

  • Off

Do not issue a warning.

  • Warning_collect

Issue a warning and post it to the global error and warning collector.

  • Common_warning_default

Take action depending on the option ‘Common warning default’.

  • Warning_handle

Issue a warning and post it to the nearest error handler.

  • Strict_warning_default

Take action depending on the option ‘Strict warning default’.

  • Error

Issue an error.

  • Error_in_develop_else_warning

In a developer system same as Error, in a deployment system same as Warning_handle

  • Error_in_develop_else_off

In a developer system same as Error, in a deployment system same as Off

  • Warning_in_develop_else_off

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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