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| Nonlinear Optimization Examples |
| rc | Reason for Optimization Termination |
| 1 | ABSTOL criterion satisfied (absolute F convergence) |
| 2 | ABSFTOL criterion satisfied (absolute F convergence) |
| 3 | ABSGTOL criterion satisfied (absolute G convergence) |
| 4 | ABSXTOL criterion satisfied (absolute X convergence) |
| 5 | FTOL criterion satisfied (relative F convergence) |
| 6 | GTOL criterion satisfied (relative G convergence) |
| 7 | XTOL criterion satisfied (relative X convergence) |
| 8 | FTOL2 criterion satisfied (relative F convergence) |
| 9 | GTOL2 criterion satisfied (relative G convergence) |
| 10 | n linear independent constraints are active at xr and none of them could be released to improve the function value |
| -1 | objective function cannot be evaluated at starting point |
| -2 | derivatives cannot be evaluated at starting point |
| -3 | objective function cannot be evaluated during iteration |
| -4 | derivatives cannot be evaluated during iteration |
| -5 | optimization subroutine cannot improve the function value (this is a very general formulation and is used for various circumstances) |
| -6 | there are problems in dealing with linearly dependent active constraints (changing the LCSING value in the par vector can be helpful) |
| -7 | optimization process stepped outside the feasible region and the algorithm to return inside the feasible region was not successful (changing the LCEPS value in the par vector can be helpful) |
| -8 | either the number of iterations or the number of function calls is larger than the prespecified values in the tc vector (MAXIT and MAXFU) |
| -9 | this return code is temporarily not used (it is used in PROC NLP indicating that more CPU than a prespecified value was used) |
| -10 | a feasible starting point cannot be computed |
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