Dakota Reference Manual
Version 6.12
Explore and Predict with Confidence

Characteristic values to scale each calibration term
Alias: calibration_term_scales least_squares_term_scales
Argument(s): REALLIST
Default: 1.0 (no scaling)
Each real value in primary_scales
is a nonzero characteristic value to be used in scaling each calibration term. They only have effect when the associated method specifies scaling
.
Length: When specified, primary_scales
must have length one of:
Usage Tips:
Calibration only supports valuebased scaling. Use scale values of 1.0 to selectively avoid scaling a subset of response functions.
Weights are applied as multipliers, scales as charateristic values / divisors.
When scaling is active, it is applied to calibration terms after any residual formation (accounting for experimental data and optionally measurement error covariance), and before any weights. See the equations in calibration_terms.
See the scaling information under specific methods, e.g., method*scaling
for details on how to use this keyword.