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Table 15.3 shows a trace of Algorithm 15.4 on the same graph as in Example 15.26 (Figure 15.29 on page 301). The start vertex v0 = A. The result, of course, is the same as that in Example 15.27. The only real difference is that the explicit

(b) If 6,

< 1 and 6, < 1, what are the approximate passband and stopband ripples of G(ejw) < < With a cascade, g(n) = h ( n )* h(n),the frequency response is

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15.1 Find each of the following properties for the graph shown in Figure 15.32: a. Its size n b. Its vertex set V c. Its edge set E d. The degree d(x) of each vertex x e. A path of length 3 f. A path of length 5 g. A cycle of length 4 h. A spanning tree i. Its adjacency matrix j. Its incidence matrix k. Its adjacency list Find each of the following properties for the digraph shown in Figure 15.33: a. Its size n b. Its vertex set V c. Its edge set E d. The indegree id(x) of each vertex x e. The outdegree od(x) of each vertex x f. A path of length 3 g. A path of length 5 h. A cycle of length 4

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Here is a Java implementation of the two traversal algorithms for the Network class introduced in Example 15.25 on page 299:

(0 5 7 7

i. Its adjacency matrix j. Its incidence matrix k. Its adjacency list 15.3 15.4 15.5 Draw the complete graph on n vertices for n = 2, 3, 4, 5, and 6. Determine whether the graph G1 in Figure 15.34 is either eulerian or hamiltonian. Determine whether the graph G2 in Figure 15.34 is either eulerian or hamiltonian.

(I - 6,)' = 1 - 26, and (1

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20

+ 6,)"

Figure 15.35 shows 12 subgraphs of the graph in Figure 15.6 on page 288. Determine whether each of these is connected, acyclic, and/or spanning.

+ 226, + 6%

public class Network { Vertex start; private class Vertex { Object object; Edge edges; Vertex nextVertex; boolean visited; } private class Edge { Vertex to; int weight; Edge nextEdge; } public static void visit(Vertex x) { System.out.println(x.object); }

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In other words, the passband ripple is approximately doubled. In the stopband, however, the ripple is much smaller with the cascade. In fact, in decibels, the stopband attenuation is doubled. With other systems built out of interconnections of h(n) it is possible to improve the filter characteristics in both the passband and the stopband.

public void breadthFirstSearch() { if (start == null) { return; } Vector queue = new Vector(); visit(start); start.visited = true; queue.addElement(start); while (!queue.isEmpty()) { Vertex v = queue.firstElement(); queue.removeElementAt(0); for (Edge e = v.edges; e != null; e = e.nextEdge) { Vertex w = e.to; if (!w.visited) { visit(w); w.visited = true; queue.addElement(w); } } } } public void depthFirstSearch() { if (start != null) { depthFirstSearch(start); } } public void depthFirstSearch(Vertex x) { visit(x); x.visited = true; for (Edge e = x.edges; e != null; e = e.nextEdge) { Vertex w = e.to; if (!w.visited) { depthFirstSearch(w); } } } }

Show that a type I equiripple low-pass filter of order N may have either L L = N/2.

15.7 15.8 15.9

A(.'.)

21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59

FILTER DESIGN with L = N/2. Because the desired response, &(elW),and the weighting function,

Find two nonisomorphic graphs for which all five conditions of Theorem 15.4 on page 289 are true. Describe the adjacency matrix for the complete graph on n vertices. Describe the incidence matrix for the complete graph on n vertices.

This uses the recursive version of the depth-first search. That requires the depthFirstSearch() method with zero parameters to start the recursive depthFirstSearch() method.

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