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Consider the following graph.

(a) What is the cost of its minimum spanning tree?

(b) How many minimum spanning trees does it have?

(c) Suppose Kruskal’s algorithm is run on this graph. In what order are the edges added to the MST? For each edge in this sequence, give a cut that justifies its addition.

Short Answer

Expert verified

a).The cost of its minimum spanning treeby usingKruskal’s algorithm is 19.

b).Theminimum number of spanning trees does is 2.

c). Theorder of the edges added to the MST or each edge in the sequence isAE,EF,BE,FG,GH,CG,andGD.

Step by step solution

01

A minimal spanning tree:

A minimal spanning tree is indeed an edge-weighted graph with a weight that is equal to which is less than the value about any other spanning tree.

02

The least cost of spanning tree.  

a)

Minimum spanning tree cost:

The number of edges for a minimal spanning tree may be calculated using the formula below.:

Numberofedges=Numberofvertices1

In Equation, replace"numberofvertices=8"with the value.

Numberofedges=81=7

The following are the steps to determining the least spanning tree:

Begin with the graph's vertices " A ."

• Each vertices "A " has two angles with such a load of 6 vertices point A to point B and 1 vertices from to .

• From A through E vertices, the minimum weight is 1 as indicated below:

Next, starts with vertex “B ”.

• The vertex "B " has four edges with weights of 6 vertices from B to A ,5 vertices from B to C ,2 vertices from B to E , and 2 vertices from B to F . From B to E vertices, the minimum weights are 2; from B to F vertices, the minimum weights are 2. Take a look at the initial minimal weight value. As a result, the minimal weight 2 from B to E vertices are as follows:

Then comes the vertex " C ."

• Each vertices " C " has four edges having weights of 5 vertices through C to B ,6 vertices as C to D,5 vertices from C to F, and 4 vertices from C to G.

• From C through G vertices, the lower limit is 4 as indicated below:

Then comes the vertex "D ."

• Each vertices "D" has four edges having weights of 5 vertices through D to B,6 vertices as D to D ,5 vertices from D to F, and 4 vertices from D to G.

• From D through G vertices, the lower limit is 4.

Then comes the vertex " E ."

• The vertex "E " has three edges with weights of one from E to A , two from E to B, and one from E to F vertices.

• The first and second weights have already been drawn.

From E through F vertices, the minimum weight is 1 as indicated below:

Next, begin with vertex "F ."

• The vertex "F " has four edges, each with a weight of one from F to E , two from F to B , five between F and C , and three from F to G .

• The first and second weights have already been drawn.

From F through G vertices, the minimum weight is 3 as indicated below:

The following vertex is "G."

• The vertex "G" has four edges with weights of 3 between G and F vertices,4 between G and C vertices,5 between G and D vertices, and 3 between G and H vertices.

• The third and fourth weights have already been drawn.

o From G through H vertices, the minimum weight is 3 as illustrated below:

Finally, the minimum spanning tree is shown below:

The cost of the minimum spanning tree is the sum of all the weighted edges.

Therefore, the cost of the minimum spanning tree: 19

03

The number of minimum spanning tree in this graph.

b)

In the given graph, there are two possibilities of the minimum spanning tree. That is, we can take the weight 2 from B to E or weight 2 fromEtoF .

One possible minimum spanning tree with weight2fromBtoEand is given below:

Another possible minimum spanning tree with weight2fromEtoFand is given below:

Therefore, the number of minimum spanning tree in this graph is 2.

04

Run the MST using Kruskal’s algorithm:

c)

The minimum spanning tree using the Kruskal’s algorithm is given below:

In this MST,

• There are 7 edges are included into the minimum spanning tree such as,

AE,EF,BE,FG,GH,CG,andGD.

ForAEedge,thecutsareA,B,C,DandE,F,G,H.ForEFedge,thecutsareA,B,C,D,EandF,G,H.ForBEedge,thecutsareA,E,F,G,HandB,C,D.ForFGedge,thecutsareA,B,EandC,D,F,G,H.ForGHedge,thecutsareA,B,E,F,GandC,D,H.ForCGedge,thecutsareA,B,E,F,G,HandC,D.ForGDedge,thecutsareA,B,C,E,F,G,HandD.

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Most popular questions from this chapter

We use Huffman's algorithm to obtain an encoding of alphabet {a,b,c}with frequencies fa,fb,fc. In each of the following cases, either give an example of frequencies (fa,fb,fc)that would yield the specified code, or explain why the code cannot possibly be obtained (no matter what the frequencies are).

(a) Code:{0,10,11}

(b) Code:{0,1,00}

(c) Code:{10,01,00}

A long string consists of the four characters A,C,G,T ; they appear with frequency 31%,20%,9%and40% respectively. What is the Huffman encoding of these four characters?

The following table gives the frequencies of the letters of the English language (including the blank for separating words) in a particular corpus.

blank

18.3%

r

4.8%

y

1.6%

e

10.2%

d

3.5%

p

1.6%

t

7.7%

l

3.4%

b

1.3%

a

6.8%

c

2.6%

v

0.9%

o

5.9%

u

2.4%

k

0.6%

i

5.8%

m

2.1%

j

0.2%

n

5.5%

w

1.9%

x

0.2%

s

5.1%

f

1.8%

q

0.1%

h

4.9%

g

1.7%

z

0.1%

  1. What is the optimum Huffman encoding of this alphabet?
  2. What is the expected number of bits per letter?
  3. Suppose now that we calculate the entropy of these frequencies

H=t=026ptlog1pt

(see the box in page 143). Would you expect it to be larger or smaller than your answer above? Explain.

d. Do you think that this is the limit of how much English text can be compressed? What features of the English language, besides letters and their frequencies, should a better compression scheme take into account?

Show that if an undirected graph with n vertices has k connected components, then it has at least n - k edges.

A binary counter of unspecified length supports two operations: increment (which increases its value by one) and reset (which sets its value back to zero). Show that, starting from an initially zero counter, any sequence of n increment and reset operations takes time O(n); that is, the amortized time per operation is O(1) .

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