Dakota Reference Manual  Version 6.4
Large-Scale Engineering Optimization and Uncertainty Analysis
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Use AMPL to define algebraic input-output mappings


Alias: none

Argument(s): STRING

Default: no algebraic mappings


Dakota can evaluate algebraic input-output mappings using AMPL [25]. The mappings are expressed in 3 files: stub.nl, stub.col, and stub.row, where stub is a particular root name describing a particular problem. The file names are communicated to Dakota using the algebraic_mappings keyword. It may either specify the full stub.nl filename, or alternatively, just the stub basename.

Dakota then extracts the input and output identifier strings from stub.col and stub.row and employs the AMPL solver library[28] to process the directed acyclic graphc (DAG) specification in stub.nl. The variable and objective function names declared within AMPL should be a subset of the variable and response descriptors specified in the variables and responses blocks. Ordering is not important, as Dakota will reorder data as needed.


An interface employing both algebraic and simulation-based mappings. The results from the individual algebraic and simulation mappings are overlaid based on the variable and response descriptors used by the individual mappings.

    algebraic_mappings = 'ampl/fma.nl'
      analysis_driver = 'text_book'
      parameters_file = 'tb.in'
      results_file    = 'tb.out'