Examples
sym_loadProblemBasic(2,2,[0,0],[%inf,%inf],[1,1],[%t,%t],sym_maximize,[1,2;2,1],[0;0],[7;6.5]) |  |  |
Load a problem into Symphony (basic version)
sym_loadProblemBasic(nbVar,nbConstr,varLB,varUB,objCoeff,isInt,objSense,conMatrix,conLB,conUB)
Loads a MIP problem into Symphony. All the necessary data can be given through a single function call.
The type of constraint is automatically deduced from the constraint bounds.
This version of the problem loader does not support sparse matrices and hence is only useful for small problems.
Number of variables
Number of constraints
Matrix containing lower bounds of the variables (must have size 1 row and nbVar columns). Bound can be negative infinity
Matrix containing upper bounds of the variables (must have size 1 row and nbVar columns). Bound can be infinity
Matrix containing coefficients of the variables in the objective (must have size 1 row and nbVar columns)
Boolean matrix representing wether a variable is constrained to be an integer (must have size 1 row and nbVar columns)
The sense (maximization/minimization) of the objective. Use sym_minimize or sym_maximize here
Matrix (normal) representing the constraint matrix (must have size nbConstr rows and nbVar columns)
Matrix containing lower bounds of the constraints (must have size nbConstr rows and 1 column)
Matrix containing upper bounds of the constraints (must have size nbConstr rows and 1 column)
Returns 0 if the problem was successfully loaded into Symphony
sym_loadProblemBasic(2,2,[0,0],[%inf,%inf],[1,1],[%t,%t],sym_maximize,[1,2;2,1],[0;0],[7;6.5]) | | |