Sample MOOCHO Options File
[Sample MOOCHO input and output.]

Collaboration diagram for Sample MOOCHO Options File:

Below is a sample MOOCHO options file for some of the typical options that a user might want to manipulate. The full set of options with documentation are shown here.

begin_options

options_group NLPSolverClientInterface {
    max_iter = 20;
    max_run_time = 2.0; *** In minutes
    opt_tol = 1e-2;
    feas_tol = 1e-7;
*    journal_output_level = PRINT_NOTHING;              * No output to journal from algorithm
*    journal_output_level = PRINT_BASIC_ALGORITHM_INFO; * O(1) information usually
    journal_output_level = PRINT_ALGORITHM_STEPS;      * O(iter) output to journal     [default]
*    journal_output_level = PRINT_ACTIVE_SET;           * O(iter*nact) output to journal  
*    journal_output_level = PRINT_VECTORS;              * O(iter*n) output to journal   (lots!)
*    journal_output_level = PRINT_ITERATION_QUANTITIES; * O(iter*n*m) output to journal (big lots!)
*    null_space_journal_output_level = DEFAULT;                    * Set to journal_output_level [default]
*    null_space_journal_output_level = PRINT_ACTIVE_SET;           * O(iter*nact) output to journal  
*    null_space_journal_output_level = PRINT_VECTORS;              * O(iter*(n-m)) output to journal   (lots!)
    null_space_journal_output_level = PRINT_ITERATION_QUANTITIES; * O(iter*(n-m)^2) output to journal (big lots!)
    journal_print_digits = 10;
    calc_conditioning = true;
    calc_matrix_norms = true;  *** (costly?)
    calc_matrix_info_null_space_only = true;  *** (costly?)
}

options_group DecompositionSystemStateStepBuilderStd {
*    null_space_matrix = AUTO;         *** Let the solver decide [default]
    null_space_matrix = EXPLICIT;     *** Compute and store D = -inv(C)*N explicitly
*    null_space_matrix = IMPLICIT;     *** Perform operations implicitly with C, N (requires adjoints)
*    range_space_matrix = AUTO;        *** Let the algorithm decide dynamically [default]
*    range_space_matrix = COORDINATE;  *** Y = [ I; 0 ] (Cheaper computationally)
    range_space_matrix = ORTHOGONAL;  *** Y = [ I; -N'*inv(C') ] (more stable)
}

options_group NLPAlgoConfigMamaJama {
*    quasi_newton = AUTO;   *** Let solver decide dynamically [default]
    quasi_newton = BFGS;   *** Dense BFGS
*    quasi_newton = LBFGS;  *** Limited memory BFGS
*    line_search_method = AUTO;               *** Let the solver decide dynamically [default]
*    line_search_method = NONE;               *** Take full steps at every iteration
*    line_search_method = DIRECT;             *** Use standard Armijo backtracking
    line_search_method = FILTER;             *** [default] Use the Filter line search method
}

end_options

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