relaxation

For an online pilot mode, apply under-relaxation to the shared sample increments

Specification

  • Alias: None

  • Arguments: None

  • Default: no relaxation

Child Keywords:

Required/Optional

Description of Group

Dakota Keyword

Dakota Keyword Description

Required (Choose One)

Relaxation factor

factor_sequence

For under-relaxation of shared sample increments, apply a sequence of factors, one per iteration

fixed_factor

For under-relaxation of shared sample increments, apply a fixed factor that is invariant with iteration

recursive_factor

For under-relaxation of shared sample increments, apply a recursive factor on each iteration that advances the relaxation factor toward 1

Description

Multilevel / multifidelity sampling methods are adaptive UQ methods that utilize a pilot sample to estimate an initial set of correlations or variances, and then augment the pilot with additional sample increments to optimally allocate resources. In the iterated online_pilot solution mode, the initial pilot sample is updated with additional shared samples in the direction of the optimal solution to the resource allocation problem. When the initial correlation / covariance approximations are inaccurate, this update can be overly aggressive, such that it becomes advisable to only accept a portion of this suggested increment through use of an under-relaxation factor.

Three options are provided for defining a sequence of under-relaxation factors: factor_sequence, fixed_factor, and recursive_factor.

Default Behavior

Relaxation is an optional specification, and no relaxation (accept the full magnitude of suggested sample increments) is the default.