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Now you ve added a full algorithm to toast the bread. All these private functions and variables make up the way that heated resistor toasters make toast. First look at the properties you added. The remainingToastSec variable represents the toaster s timer. When you put the bread in and start toasting, you shouldn t be able to ddle with the time left, so remainingToastSec is private. The insertedBread variable keeps track of the bread inside the toaster to operate on. You can t mess with the bread inside the toaster after you plunge it in, so this is private. The resistor is the wires or coils running inside the toaster that heat up and toast the bread. Messing with those could be dangerous! All these variables are private because they represent either the state of the Toaster object or internal parts that are used in its business. You also added several private methods to the class. These embody the steps that the machinery of the toaster follows to make bread into toast. If you were able to call startCurrent() from the outside, for example, you could force this toaster to unexpectedly become very hot, or if you were able to call startTimer() from the outside, you could interrupt the toasting process. The public properties and methods of a class make up its public interface. All nonpublic parts of the class are involved with its implementation. This is how access control enables you to practice encapsulation. The public interface of a HeatedResistorToaster is just a toast() method, but internally you see that it has a state and operations that help it do the toasting.

4 0.149 0.156

A drawback of private items is that they are not inherited by subclasses. So if the Toaster class had a private property finish that described its paint job, the HeatedResistorToaster would not be able to share it. You would have to add it again to the HeatedResistorToaster de nition and to any other class that derives from Toaster. In the le com/actionscriptbible/ch4/Toaster.as:

5 0.025 0.031

package com.actionscriptbible.ch4 { public class Toaster { private var finish:String = "Reflective Silver"; } }

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the probability that more than 45 of the sampled customers have purchased from the corporation in the last three months The sampling is without replacement. However, because the sample size of 50 is small relative to the number of customer accounts, 1000, the probability of selecting a customer who has purchased from the corporation in the last three months remains approximately constant as the customers are chosen. For example, let A denote the event that the first customer selected has purchased from the corporation in the last three months, and let B denote the event that the second customer selected has purchased from the corporation in the last three months. Then, P1A2 700 1000 0.7 and P1B A2 699 999 0.6997. That is, the trials are approximately independent. Let X denote the number of customers in the sample who have purchased from the corporation in the last three months. Then, X is a hypergeometric random variable with N 1000, n 50, and K 700. Consequently, p K N 0.7. The requested probability is P1X 452 . Because the sample size is small relative to the batch size, the distribution of X can be approximated as binomial with n 50 and p 0.7. Using the binomial approximation to the distribution of X results in P1X 452

0.72 50

In the le com/actionscriptbible/ch4/HeatedResistorToaster.as:

The probability from the hypergeometric distribution is 0.000166, but this requires computer software. The result agrees well with the binomial approximation.

The acoustic sensor is sampled periodically with a fixed or varying frequency, a Fourier transform is applied to the time-domain samples, and the result is compared with a set of acoustic patterns of interest to the end user If a match is found, the time- and location-stamped result is communicated to a designated clusterhead node which performs further processing such as line of bearing estimation in an attempt to predict the location of the target This programming methodology where the desired global application behavior is manually decomposed by the programmer and subsequently coded into individual node-level programs is termed node-centric programming and is representative of state of the art Node-centric programming has several limitations Manual translation of global behavior into local actions is likely to be time-consuming and error prone for complex applications.

package com.actionscriptbible.ch4 { public class HeatedResistorToaster extends Toaster { public function HeatedResistorToaster() { trace(finish); //Compiler error! We don t have a finish. } } }

EXERCISES FOR SECTION 3-8

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