unordered_model_fidelities

Specification of an unordered ensemble of low-fidelity approximations

Specification

• Alias: approximation_models

• Arguments: STRINGLIST

Description

A non_hierarchical surrogate model manages an unordered set of low-fidelity model approximations, each of which may include hyper-parameter resolution controls (in the case of a simulation model) or additional model recursions.

Any corresponding sequence specifications within methods (e.g., quadrature_order_sequence, sparse_grid_level_sequence, expansion_order_sequence, etc. within stochastic expansion methods) should be synchronized with the order in the model listing.

Internal to the non-hierarchical model, subsets of the model ensemble may be active for any given evaluation, as dictated by the iterative algorithm in use.

Examples

model,
 id_model = 'NONHIERARCH'
 surrogate non_hierarchical
   unordered_model_fidelities = 'LF1' 'LF2'
   truth_model_pointer = 'HF'

model,
 id_model = 'LF1'
 simulation
   interface_pointer = 'LF1_DRIVER'
          solution_level_cost = 1.

model,
 id_model = 'LF2'
 simulation
   interface_pointer = 'LF2_DRIVER'
          solution_level_cost = 2.4

model,
 id_model = 'HF'
 simulation
   interface_pointer = 'HF_DRIVER'
          solution_level_cost = 256.