rdlc data matrix

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public class TestNode { public static void main(String[] args) { Node start = new Node(22); Node p = start; for (int i = 1; i < 5; i++) { p = p.next = new Node(22 + 11*i); } for (p = start; p != null; p = p.next) { System.out.println(p.data); } for (p = start; p != null; p = p.next) { System.out.println(p); } } } class Node { int data; Node next; Node(int data) { this.data = data; } }

The output is:

22 33 44 55 66

CHAP. 3]

The monopolistically competitive rm misallocates resources because it produces where P > MC (see Figure 15-1). In addition, it does not produce at the lowest point on its LAC curve as a perfect competitor does. However, these inef ciencies are usually not great because of the highly elastic demand faced by monopolistic competitors. In contrast to the perfect competitor, the monopolistic competitor engages in nonprice competition, which takes the form of advertising and product differentiation. Such tactics are intended to increase the rm s share of the market and shift its demand curve upward (to the right). However, they also increase the rm s costs and shift the rm s cost curves upward. While some advertising informs the consumer and product differentiation satis es the consumers desire for variety, both may be excessive and wasteful. While the oligopolist can make pro ts, break even, or incur losses in the short run, in the long run the rm will leave the industry rather than incur losses. Oligopolists underallocate resources and can earn long-run pro ts because of restricted entry. Usually they also engage in excessive advertising and product differentiation. However, ef ciency considerations may allow only a few rms in the industry, and oligopolists may use their pro ts for research and development.

The first node is constructed at line 3. Then the for loop at lines 5 7 constructs the other four nodes. The second for loop at lines 8 10 prints the node data in the first five lines of output. The third for loop at lines 11 13 gives the actual memory addresses of the five Node objects. When you use an object reference like p in a string expression such as

System.out.println(p);

the system automatically invokes that object s toString() method. Unless it has been overridden, the version of the toString() method that is defined in the Object class will execute, as it did in the program in Example 3.9. The string returned by that version merely contains the object s type (Node) followed by the @ sign and the memory address of the object (7182c1). So the last five lines of output report that the five Node objects are stored at the (hexadecimal) memory addresses 0x7182c1, 0x3f5d07, 0xf4a24a, 0xcac268, and 0xa16869. These then are the actual values stored in the reference variables start, start.next, start.next.next, start.next.next.next, and start.next.next.next.next. You can see from Figure 3.17 why we usually draw linked lists using arrows to represent the Node references. Showing the actual memory address values instead requires more effort to see which node references which. Moreover, those memory address values are runtime dependent: They will be different on different computers, and maybe even on the same computer at different times. One final note: At line 6 we use the chained assignment

p = p.next = new Node(22+11*i);

During the configuration of the document object in BW, you will need to assign a document class to each document. Table 7-4 shows you the document classes you can choose from and the corresponding document properties.