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subject.addObserver(observer2); System.out.println("Doing something in the subject over time..."); System.out.println(); System.out.println(" Observable Observer1 Observer2"); System.out.println("Iteration changed notified notified "); // Use loop to simulate time. for(int i=0;i < 10;i++) { System.out.print(i+": "); subject.doSomething(); System.out.println(); } System.out.println(); System.out.println("Removing observer1 from the subject...repeating..."); System.out.println(); subject.removeObserver(observer1); // Another loop to simulate time. for(int i=0;i < 10;i++) { System.out.print(i+": "); subject.doSomething(); System.out.println(); } } } package javaee.architect.Observer; public class ConcreteObserver implements ObserverIF { private ConcreteSubject subject; // Reference to subject public void update() { if (subject == null) { subject = new ConcreteSubject(); } System.out.print(" Yes!"); } } package javaee.architect.Observer; import java.util.*; public class ConcreteSubject implements SubjectIF { List observers = new ArrayList(); public void addObserver(ObserverIF parm) {observers.add(parm);} public void removeObserver(ObserverIF parm) {observers.remove(observers.indexOf(parm));} public void notifyObservers() { for (Iterator i = observers.iterator(); i.hasNext();) { ((ObserverIF) i.next()).update(); } } public void doSomething() { double d = Math.random();

if (d<0.25 || d>0.75) { System.out.print("Yes"); notifyObservers(); } else { System.out.print("No"); } } } package javaee.architect.Observer; public interface ObserverIF { public void update(); } package javaee.architect.Observer; public interface SubjectIF { public void addObserver(ObserverIF parm); public void removeObserver(ObserverIF parm); public void notifyObservers(); }

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Now, the rst thing to notice is that the order of the derivatives doesn t matter. So, the rst step is to write a X = X a Next, let s raise the space-time index on X and lower it on a . Since these are space-time indices, we use the Minkowski metric to do this: X a = ( X ) ( a ) The metric is not space-time dependent (in the at space or Minkowski spacetime we are considering here), so we can pull the metric terms outside of the derivatives. You might recognize that this is actually true in general because the derivatives are with respect to worldsheet coordinates, but the metric, if it depends on coordinates, is space-time dependent. So, ( X ) ( a ) = X a = X a = X a The index is a repeated or dummy index, so we can call it what we like. Let s change it to match the rst term in L = T /2 [ X a + a X ] : X a = X a Now, we repeat the process for the indices on the derivatives. This time, the indices are worldsheet indices. So, we obtain X a = h X h a = h h X a = X a = X a = X a And so, the variation in the lagrangian reduces to

Open up your Resources folder. Go back to the desktop and select both of your images and drag them into your Resources folder as shown in Figure 6 58. While in the Resources folder, open up the MainWindow.xib file as shown in Figure 6 59.

The State pattern s intent is to allow an object to alter its behavior when its internal state changes, appearing as though the object itself has changed its class. Another view of the intent of the State pattern is to encapsulate the states of an object as discrete objects, with each object belonging to a separate subclass of an abstract state class. The State pattern is also known as Objects for States and acts in a similar way to the Receiver in the Command pattern. The UML is shown in Figure 5-20.

L =

FIGURE 5-20

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