//: strategy:StrategyPattern.java
package strategy;
import com.bruceeckel.util.*; // Arrays2.toString()
import junit.framework.*;
// The strategy interface:
interface FindMinima {
// Line is a sequence of points:
double[] algorithm(double[] line);
}
// The various strategies:
class LeastSquares implements FindMinima {
public double[] algorithm(double[] line) {
return new double[] { 1.1, 2.2 }; // Dummy
}
}
class NewtonsMethod implements FindMinima {
public double[] algorithm(double[] line) {
return new double[] { 3.3, 4.4 }; // Dummy
}
}
class Bisection implements FindMinima {
public double[] algorithm(double[] line) {
return new double[] { 5.5, 6.6 }; // Dummy
}
}
class ConjugateGradient implements FindMinima {
public double[] algorithm(double[] line) {
return new double[] { 3.3, 4.4 }; // Dummy
}
}
// The "Context" controls the strategy:
class MinimaSolver {
private FindMinima strategy;
public MinimaSolver(FindMinima strat) {
strategy = strat;
}
double[] minima(double[] line) {
return strategy.algorithm(line);
}
void changeAlgorithm(FindMinima newAlgorithm) {
strategy = newAlgorithm;
}
}
public class StrategyPattern extends TestCase {
MinimaSolver solver =
new MinimaSolver(new LeastSquares());
double[] line = {
1.0, 2.0, 1.0, 2.0, -1.0,
3.0, 4.0, 5.0, 4.0 };
public void test() {
System.out.println(
Arrays2.toString(solver.minima(line)));
solver.changeAlgorithm(new Bisection());
System.out.println(
Arrays2.toString(solver.minima(line)));
}
public static void main(String args[]) {
junit.textui.TestRunner.run(StrategyPattern.class);
}
} ///:~