javax.constraints.impl.constraint.ConstraintMin Maven / Gradle / Ivy
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JCP Standard JSR331 “Java Constraint Programming API”. It is used for Modeling and Solving Constraint Satisfaction and Optimization Problems using Java and off-the-shelf Constraint/Linear Solvers
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//=============================================
// J A V A C O M M U N I T Y P R O C E S S
//
// J S R 3 3 1
//
// Common Implementation
//
//=============================================
package javax.constraints.impl.constraint;
import javax.constraints.Var;
import javax.constraints.impl.AbstractConstraint;
import javax.constraints.impl.AbstractProblem;
/**
* This is a linear constraint for a constrained integer variable that is equal to the minimal
* variable in the array "vars" when they are all instantiated.
*/
public class ConstraintMin extends AbstractConstraint {
String oper;
Var[] vars;
Var var;
int value;
Var minVar;
public ConstraintMin(Var[] vars, String oper, Var var) {
super(vars[0].getProblem());
this.vars = vars;
this.oper = oper;
this.var = var;
createMinVar();
}
public ConstraintMin(Var[] vars, String oper, int value) {
super(vars[0].getProblem());
this.vars = vars;
this.oper = oper;
this.var = null;
this.value = value;
createMinVar();
}
void createMinVar() {
AbstractProblem p = (AbstractProblem)getProblem();
int min = vars[0].getMin(); // the smallest minimum
int max = vars[0].getMax(); // the smallest maximum
for (int i = 1; i < vars.length; i++) {
int mini = vars[i].getMin();
int maxi = vars[i].getMax();
if (min > mini)
min = mini;
if (max > maxi)
max = maxi;
}
minVar = p.variable("MinArray", min, max);
Var[] equalities = new Var[vars.length];
for (int i = 0; i < vars.length; i++) {
p.post(minVar, "<=", vars[i]);
equalities[i] = p.linear(minVar,"=",vars[i]).asBool();
}
p.post(equalities, ">=", 1);
}
public void post() {
if (var == null)
getProblem().post(minVar, oper, value);
else
getProblem().post(minVar, oper, var);
}
public Var getMinVar() {
return minVar;
}
}