The Quadratic Programming Solver |
Macro Variable _OROPTMODEL_ |
The OPTMODEL procedure always creates and initializes a SAS macro called _OROPTMODEL_. This variable contains a character string. After each PROC OROPTMODEL run, you can examine this macro by specifying %put &_OROPTMODEL_; and check the execution of the most recently invoked solver from the value of the macro variable. The various terms of the variable after the QP solver is called are interpreted as follows.
indicates the solver status at termination. It can take one of the following values:
solver terminated normally
incorrect use of syntax
inconsistent input data
insufficient memory allocated to the procedure
problem in reading or writing of data
evaluation error, such as an invalid operand type
status that cannot be classified into any of the preceding categories
indicates the solution status at termination. It can take one of the following values:
solution is optimal
optimality of the solution cannot be proven
problem is infeasible
problem is unbounded
problem is infeasible or unbounded
problem type is unsupported by solver
maximum allowable iterations reached
solver reached its execution time limit
solver reached its limit on function evaluations
solver failed to converge, possibly due to numerical issues
indicates the objective value obtained by the solver at termination.
indicates the (relative) infeasibility of the primal constraints at the solution. See the section Interior Point Algorithm: Overview for details.
indicates the (relative) infeasibility of the dual constraints at the solution. See the section Interior Point Algorithm: Overview for details.
indicates the (relative) violation of the optimal solution over the lower and upper bounds. See the section Interior Point Algorithm: Overview for details.
indicates the (relative) duality gap. See the section Interior Point Algorithm: Overview for details.
indicates the (absolute) complementarity at the solution. See the section Interior Point Algorithm: Overview for details.
indicates the number of iterations required to solve the problem.
indicates the time for preprocessing (seconds).
indicates the time taken by the interior point algorithm to perform iterations for solving the problem (seconds).
Note: This procedure is experimental.
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