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for(int i=0; i < numFlights; i++) { if(flights[i].from.equals(from) && !flights[i].skip) { FlightInfo f = new FlightInfo(flights[i].from, flights[i].to, flights[i].distance); flights[i].skip = true; // prevent reuse return f; } } return null; } // Determine if there is a route between from and to. void isflight(String from, String to) { int dist; FlightInfo f; // See if at destination. dist = match(from, to); if(dist != 0) { btStack.push(new FlightInfo(from, to, dist)); return; } // Try another connection. f = find(from); if(f != null) { btStack.push(new FlightInfo(from, to, f.distance)); isflight(f.to, to); } else if(btStack.size() > 0) { // Backtrack and try another connection. f = (FlightInfo) btStack.pop(); isflight(f.from, f.to); } } }

Notice that main( ) prompts you for both the city of origin and the city of destination. This means that you can use the program to find routes between any two cities. However, the rest of this chapter assumes that New York is the origin and Los Angeles is the destination. When run with New York as the origin and Los Angeles as the destination, the following solution is displayed. As Figure 10-5 shows, this is indeed the first solution that would be found by a depth-first search. It is also a fairly good solution.

It s a good idea to make the most common functionality of an application very suggestive of a particular way to hold the device. This way, you have a good idea of how the user is likely to hold the device when using your application, and you can plan your UI accordingly.

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position for the key to strike, and the center part bent down at a right angle to form a talon Thus a talon engages behind a similar talon on the tumbler when in the unlocked position, and ahead of it when locked The tumbler is raised out of the way as the key turns, by half of the bit, just as the other half strikes one ear of the slot in the bolt, and it drops into place again as soon as the bolt is thrown A tapered iron spring riveted to the lock case keeps the tumbler in tension, and should be strong enough to function even if, as sometimes happens, the lock must be mounted upside down to accommodate the hand of the door.

Figure 10-5

The cam that activates the latch bolt, and through which the knob shaft passes, is forged with a round stud riveted through a round hole in the face The hole is tapered to allow filing smooth with the face and yet allow free movement of the cam A scissors spring returns the latch bolt to locked position at each operation Tension springs bear on the face side of the night bolt, to prevent chatter and unwanted movement should the door slam in the wind The case is made of three pieces: the face and ends in one sheet, bent at right angles, and top and bottom of tapered flat stock with studs riveted to them and the face plate The backplate carries the one continuous ward of thin steel sheet, attached with tenons through the plate, and a tension spring to bear on the dead bolt.

Another all-too-common UI flaw among early flashcard applications, as well as applications in every category on the App Store, were unnecessarily small buttons. My feeling is that if an application has buttons that need to be pressed very often, these buttons should have a big fat target area so that the user never misses them. Figure 7-3 illustrates the size of the check button in Flash of Genius.

The depth-first approach found a good solution. Also, relative to this specific problem, depth-first searching found this solution on its first try with no backtracking this is very good; but had the data been organized differently, finding a solution might have involved considerable backtracking. Thus, the outcome of this example cannot be generalized. Moreover, the performance of depth-first searches can be quite poor when a particularly long branch with no solution at the end is explored. In this case, a depth-first search wastes time not only exploring this chain but also backtracking to the goal.

The opposite of the depth-first search is the breadth-first search. In this method, each node on the same level is checked before the search proceeds to the next deeper level. This traversal method is shown here with C as the goal:

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