Dakota Reference Manual  Version 6.15
Explore and Predict with Confidence
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expansion_order_sequence


Sequence of expansion orders used in a multi-stage expansion

Specification

Alias: none

Argument(s): INTEGERLIST

Child Keywords:

Required/Optional Description of Group Dakota Keyword Dakota Keyword Description
Optional dimension_preference A set of weights specifying the realtive importance of each uncertain variable (dimension)
Optional basis_type

Specify the type of basis truncation to be used for a Polynomial Chaos Expansion.

Required
(Choose One)
Group 1 collocation_ratio

Set the number of points used to build a PCE via regression to be proportional to the number of terms in the expansion.

expansion_samples_sequence

Sequence of expansion samples used in a multi-stage polynomial chaos expansion

Each level entry of the expansion_samples_sequence applies to one expansion within a multi-stage expansion. Current multi-stage expansions that support expansion samples sequences include multilevel and multifidelity polynomial chaos.

If adaptive refinement is active, then this sequence specifies the starting point for each level within either an individual or integrated refinement approach.

A corresponding scalar specification is documented at, e.g., expansion_samples

Optional import_build_points_file

File containing points you wish to use to build a surrogate

Description

Each level entry of the expansion_order_sequence applies to one expansion within a multi-stage expansion. Current multi-stage expansions that support expansion order sequences include multilevel or multifidelity polynomial chaos.

If adaptive refinement is active, then this sequence specifies the starting point for each level within either an individual or integrated refinement approach.

A corresponding scalar specification is documented at, e.g., expansion_order

See Also

These keywords may also be of interest: