Dakota Reference Manual  Version 6.12
Explore and Predict with Confidence
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scales


Characteristic values to scale each nonlinear constraint

Specification

Alias: nonlinear_equality_scales

Argument(s): REALLIST

Default: 1.0 (no scaling)

Description

Each real value in scales is a nonzero characteristic value to be used in scaling each nonlinear inequality (equality) constraint. They only have effect when the associated method specifies scaling.

This keyword is required for scale_types of 'value' and optional for 'log'. When specified in conjunction with log, scale values are applied prior to the logarithm, to permit log scaling of strictly negative response functions.

If a single scale value is specified it will apply to all of the nonlinear inequality (equality) constraints. Otherwise a value must be specified for each nonlinear inequality (equality) constraint.

Usage Tips:

When scales are specified, but not scale_types, the scaling type is assumed to be 'value' for this set of nonlinear inequality (equality) constraints.

Use scale values of 1.0 to selectively avoid scaling a subset of response functions.

See the scaling information under specific methods, e.g., method-*-scaling for details on how to use this keyword.