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gams:the_scale_option_for_nlp_problems

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gams:the_scale_option_for_nlp_problems [2008/09/10 10:44]
support created
gams:the_scale_option_for_nlp_problems [2013/03/12 15:00]
support
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 Upper and lower bounds on variables are automatically scaled in the same way as the variable itself. Integer and binary variables cannot be scaled. GAMS scaling is in most respects hidden from the user. The solution values reported back from a solution algorithm are always reported in the user's notation. The algorithm'​s versions of the equations and variables are only reflected in the derivatives in the equation and column listings in the GAMS output if the options Upper and lower bounds on variables are automatically scaled in the same way as the variable itself. Integer and binary variables cannot be scaled. GAMS scaling is in most respects hidden from the user. The solution values reported back from a solution algorithm are always reported in the user's notation. The algorithm'​s versions of the equations and variables are only reflected in the derivatives in the equation and column listings in the GAMS output if the options
 ''​LIMROW''​ and ''​LIMCOL''​ are positive, and the debugging output from the solution algorithm generated with ''​OPTION SYSOUT = ON''​. ''​LIMROW''​ and ''​LIMCOL''​ are positive, and the debugging output from the solution algorithm generated with ''​OPTION SYSOUT = ON''​.
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 +Furthermore,​ note that there is a chapter on scaling in the [[http://​www.gams.com/​dd/​docs/​solvers/​conopt.pdf|CONOPT]] manual .
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