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README.conopt.txt
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CONOPT is a nonlinear solver written by Arne Drud.It is based on the reduced gradient method.
Command-line arguments to conopt either have the form
keywd=
or
keywd=value
where keywd is one of the keywords described below, or is the name
of a CONOPT "CR-Cell" (as described in separate CONOPT documentation).
Alternatively, you can invoke conopt the way AMPL's solve command does,
i.e.,
conopt stub -AMPL [keywd=value ...]
where stub was specified in
ampl -obstub ...
or
ampl -ogstub...
Such an invocation causes conopt to read from stub.nl and to write stub.sol.
------------------
Controlling conopt
------------------
Conopt reads keywords and values from the environment (shell) variable
conopt_options and from the command line. Case is ignored. For logical
CR-Cells, use 0 for FALSE and 1 for TRUE. Here are the non-CR-Cell
keywords that conopt understands; fp indicates a floating-point value
and none indicates a keyword that appears by itself, without a value.
Keyword Value Meaning
debug integer When to use finite differences to
check derivatives:
0 ==> never (default);
-1 ==> only at the starting point;
> 0 ==> every that many iterations.
debug2d integer When to use finite differences to check the
Lagrangian Hessian:
0 (default) ==> never;
-1 ==> only at the starting point;
> 0 ==> every that many iterations.
errlim integer Evaluation-error limit (default 500).
If the objective or constraints cannot be
evaluated at a proposed next iterate,
CONOPT
will try a shorter step at most errlim
times.
hess integer whether to use the Lagrangian Hessian:
0 = no;
1 = yes: just the explicit Hessian;
2 = yes: just Hessian-vector
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