public Variable[] MakeVarArray(int count,
double lb,
double ub,
bool integer) {
Variable[] array = new Variable[count];
for (int i = 0; i < count; ++i) {
array[i] = MakeVar(lb, ub, integer, "");
}
return array;
}
public Variable[,] MakeVarMatrix(int rows,
int cols,
double lb,
double ub,
bool integer) {
Variable[,] matrix = new Variable[rows, cols];
for (int i = 0; i < rows; ++i) {
for (int j = 0; j < cols; ++j) {
matrix[i,j] = MakeVar(lb, ub, integer, "");
}
}
return matrix;
}
public void BuildModel(Solver solver)
{
// Use vars.yourVariable to access variables in the variable store i.e. yourVariable
// How to define a model using Google OR-Tools: https://developers.google.com/optimization/introduction/cs
// Example model taken from https://developers.google.com/optimization/mip/integer_opt
// Define the decision variables
x = solver.MakeIntVar(0, 3.5, "x");
y = solver.MakeIntVar(0, double.PositiveInfinity, "y");
// Define the constraints
solver.Add(x + 7 * y <= 17.5);
// Define the objective
solver.Maximize(x + 10 * y);
}
public Variable[,] MakeVarMatrix(int rows,
int cols,
double lb,
double ub,
bool integer,
string name) {
Variable[,] matrix = new Variable[rows, cols];
for (int i = 0; i < rows; ++i) {
for (int j = 0; j < cols; ++j) {
string var_name = name + "[" + i + ", " + j +"]";
matrix[i,j] = MakeVar(lb, ub, integer, var_name);
}
}
return matrix;
}
public void Maximize(Variable var)
{
Objective().Clear();
Objective().SetMaximization();
Objective().SetCoefficient(var, 1.0);
}
public Variable[,] MakeBoolVarMatrix(int rows, int cols, string name) {
Variable[,] matrix = new Variable[rows, cols];
for (int i = 0; i < rows; ++i) {
for (int j = 0; j < cols; ++j) {
string var_name = name + "[" + i + ", " + j +"]";
matrix[i,j] = MakeBoolVar(var_name);
}
}
return matrix;
}
public Variable[,] MakeBoolVarMatrix(int rows, int cols) {
Variable[,] matrix = new Variable[rows, cols];
for (int i = 0; i < rows; ++i) {
for (int j = 0; j < cols; ++j) {
matrix[i,j] = MakeBoolVar("");
}
}
return matrix;
}
public SumVarArray(Variable[] array)
{
this.array_ = array;
}
public VarWrapper(Variable var)
{
this.var_ = var;
}
public void Maximize(Variable var)
{
Objective().Clear();
Objective().SetMaximization();
Objective().SetCoefficient(var, 1.0);
}
public VarEquality(Variable left, Variable right, bool equality)
{
this.left_ = left;
this.right_ = right;
this.equality_ = equality;
}
public VarWrapper(Variable var)
{
this.var_ = var;
}
public VarEquality(Variable left, Variable right, bool equality)
{
this.left_ = left;
this.right_ = right;
this.equality_ = equality;
}
