LINDO/LINDOGlobal - Gams

266 LINDO/LINDOGlobal
NLP PSTEP FINITEDIFF (real)
This controls the value of the step length in computing the derivatives using finite differences.
(default = 5e-7)
NLP DERIV DIFFTYPE (integer)
This is a flag indicating the technique used in computing derivatives with Finite Differences.
(default = 0)
0 The solver decides
1 Use forward differencing method
2 Use backward differencing method
3 Use center differencing method
NLP FEASTOL (real)
This is the feasibility tolerance for nonlinear constraints. A constraint is considered violated if the artificial, slack, or
surplus variable associated with the constraint violates its lower or upper bounds by the feasibility tolerance.
(default = 1e-6)
NLP REDGTOL (real)
This is the tolerance for the gradients of nonlinear functions. The (projected) gradient of a function is considered to
be the zero-vector if its norm is below this tolerance.
(default = 1e-7)
NLP USE CRASH (integer)
This is a flag indicating if an initial solution will be computed using simple crash routines.
(default = 0)
0 Do not use simple crash routines
1 Use simple crash routines
NLP USE STEEPEDGE (integer)
This is a flag indicating if steepest edge directions should be used in updating the solution.
(default = 0)
0 Do not use steepest edge directions
1 Use steepest edge directions
NLP USE SLP (integer)
This is a flag indicating if sequential linear programming step directions should be used in updating the solution.
(default = 1)
0 Do not use sequential linear programming step directions
1 Use sequential linear programming step directions
NLP USE SELCONEVAL (integer)
This is a flag indicating if selective constraint evaluations will be performed in solving a nonlinear model.
(default = 1)
0 Do not use selective constraint evaluations
1 Use selective constraint evaluations
NLP PRELEVEL (integer)
This controls the amount and type of NLP pre-solving.
(default = 126)