Dakota Reference Manual: start_order

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start_order

(Initial) polynomial order of each univariate function within the functional tensor train.

## Specification

Alias: order

Argument(s): INTEGER

Default: 2

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)

## Description

This specifies the initial polynomial order of each univariate function that makes up the functional tensor train decomposition. In the case of `adapt_order`, polynomial order starts from this value and is then advanced; its maximum value is limited by `max_order` and increments are controlled by `kick_order`.

Default Behavior

Default is 2.

## See Also

These keywords may also be of interest:

- adapt_order
- kick_order
- max_order