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A Road to Trouble

When programming in Java, you generally have collections of objects, as previously discussed here. Often, you want to create a variable (or constraint) for element of a collection. A bad approach is illustrated below:

Code Block

Set<String> stringCollection = makeSomeStrings();//assume this is defined elsewhere
IloCplex cplex = new IloCplex();
String[] stringToIndex = new String[stringCollection.size()];
IloIntVar[] variablesToIndex = cplex.boolVarArray(stringCollection.size());
int i = 0;
for(String s: stringCollection){
  stringToIndex[i++] = s;
}

Then given a String from the collection, we could access the corresponding IloIntVar, and with an IloIntVar, we would access the corresponding String, with the following snippets

Code Block

public IloIntVar getVariableForString(String s, String[] stringToIndex, IloIntVar[] variablesToIndex){
  for(int i = 0; i < stringToIndex.length; i++){
    if(stringToIndex[i].equals(s)){
      return variablesToIndex[i];
    }
  }
  return null;
}
public String getStringForVariable(IloIntVar v, String[] stringToIndex, IloIntVar[] variablesToIndex){
  for(int i = 0; i < variablesToIndex.length; i++){
    if(variablesToIndex[i] == v){
      return stringToIndex[i];
    }
  }
  return null;
}

There are several reasons to be concerned with this.

  • For
    Mathinline
    variables, access time takes
    Mathinline
    .
  • We are maintaining two data structures and an index by hand, which leave a lot of room for programmer error
  • We cannot add new variables at a later date

We can eliminate any chance of an indexing error and improve our access time to

Mathinline
by replacing our two arrays by two HashMaps, e.g.

Code Block

Set<String> stringCollection = makeSomeStrings();//assume this is defined elsewhere
IloCplex cplex = new IloCplex();
Map<String,IloIntVar> stringToVariable = new HashMap<String,IloIntVar>();
Map<IloIntVar,String> variableToString = new HashMap<IloIntVar,String>();
for(String s: stringCollection){
  IloIntVar v = cplex.boolVar();
  stringToVariable.put(s,v);
  variableToString.put(v,s);
}

However, we are still maintaining two separate data structures which we need to keep synchronized, which is asking for trouble.

Good Style

Instead, we use Guava's special data structure, the ImmutableBiMap, which will maintain two HashMaps for us (and as a bonus, prevent any accidental modifications once we build the map). The following methods can be found in Util.java in your project:

Code Block

public static <T> ImmutableBiMap<T,IloIntVar> makeBinaryVariables(IloCplex cplex, Iterable<T> set) throws IloException{
	Builder<T,IloIntVar> ans = ImmutableBiMap.builder();
	for(T t: set){
		ans.put(t, cplex.boolVar());
	}
	return ans.build();
}

Now the unfortunate code from before can be replaced by

Code Block

Set<String> stringCollection = makeSomeStrings();//assume this is defined elsewhere
IloCplex cplex = new IloCplex();
ImmutableBiMap<String,IloIntVar> stringVarBiMap = Util.makeBinaryVariables(cplex,stringCollection);
for(String s: stringCollection){
  stringVarMap.put(s,cplex.boolVar());
}

public IloIntVar getVariableForString(String s, ImmutableBiMap<String,IloIntVar> stringVarBiMap){
  return stringVarBiMap.get(s);
}
public String getStringForVariable(IloIntVar v, ImmutableBiMap<String,IloIntVar> stringVarBiMap){
  return stringVarBiMap.inverse().get(v);
}

There are a few additional methods in the class Util for creating IloLinearIntExpr objects and IloLinearNumExpr objects designed to keep your code organized and error free. They use another Guava class, Function, (see here for Javadoc). The idea of a Function<F,T> is simple, they take in any object of type F and produce some object of type T. Functions are a little clunky to make (a weakness of Java), but fortunately you won't have to make many. The follwing static functions are also found in Util

Method Name

Return Type

Arguments

Description

Anchor
integerSum
integerSum
integerSum

IloLinearIntExpr

IloCplex cplex, BiMap<T,IloIntVar> variables, Iterable<T> set

For each

Mathinline
finds the variable
Mathinline
in variables and returns
Mathinline

integerSum

IloLinearIntExpr

IloCplex cplex, BiMap<T,IloIntVar> variables, Iterable<T> set,Function<? super T,Integer> coefficients

For each

Mathinline
finds the variable
Mathinline
in variables and
Mathinline
by applying coefficients to
Mathinline
and returns
Mathinline

Anchor
calcSum
calcSum
calcSum

double

Set<E> terms, Map<E,Double> coefficients

If for every

Mathinline
, we let
Mathinline
be zero if coefficients does not contain the key
Mathinline
and the value of
Mathinline
coefficientsComputes otherwise, returns
Mathinline
.

While the final function actually has nothing to do with CPLEX, it will often be useful when using CPLEX.

Simple Example Revisited

Recall the IP we modeled with CPLEX in the previous section:

Mathdisplay
 
\begin{aligned} 
&\min & x + 2y + 3z\\ 
&\text{subject to}& x + y + z &\geq 2\\ 
&& x,y,z &\in\{0,1\} 
\end{aligned} 

Lets design a more scalable implementation using our new methods. Finish the method exercise2() from WarmUps.java, which currently reads

Code Block

public static void exerciseTwo() throws IloException{
	List<String> varNames = Arrays.asList("x","y","z");
	Map<String,Integer> weightsMap = new HashMap<String,Integer>();
	weightsMap.put("x",1);
	weightsMap.put("y",2);
	weightsMap.put("z",3);
	Function<String,Integer> weights = Functions.forMap(weightsMap);
	IloCplex cplex = new IloCplex();
	//write code here!
}

The functionality should be the same as exercise1(). Modify the main method to test your code.

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