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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?

Short Answer

Expert verified

Huffman encoding of the charactersA,C,G,T is01,001,000,1 respectively.

Step by step solution

01

Frequencies of the characters are sorted in increasing order

Write the given frequency distribution in the form of a table, in increasing order.

02

Represent the frequencies in a full binary tree

A binary tree in which every node has zero or two children is called a full binary tree.

Characters along with their frequencies in sorted order are placed at the leaf nodes, and Huffman encoding is done by following a path from the root to leaf where every left node is represented as 0 and every right node is represented as 1.Full binary tree created is shown:

03

Huffman encoding of alphabets

White the Huffman encoding of the given frequency distribution.

Thus, Huffman encoding of the given characters are 01,000,001,1.

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Most popular questions from this chapter

Let G=(V,E) be an undirected graph. Prove that if all its edge weights are distinct, then it has a unique minimum spanning tree

Give a linear-time algorithm that takes as input a tree and determines whether it has a perfect matching: a set of edges that touches each node exactly once.

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Give an efficient algorithm for the following problem:

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Output: A feedback edge set E'Eminimum total weight eE'we.

Consider an undirected graph G=(V,E)with nonnegative edge weights role="math" localid="1658915178951" we0. Suppose that you have computed a minimum spanning tree of G, and that you have also computed shortest paths to all nodes from a particular node role="math" localid="1658915296891" sV. Now suppose each edge weight is increased by 1: the new weights are w0e=we+1.

(a) Does the minimum spanning tree change? Give an example where it changes or prove it cannot change.

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Suppose we want to find the minimum spanning tree of the following graph.

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(b) Run Kruskal’s algorithm on the same graph. Show how the disjoint-sets data structure looks at every intermediate stage (including the structure of the directed trees), assuming path compression is used.

Entropy: Consider a distribution overnpossible outcomes, with probabilities p1,p2,K,pn.

a. Just for this part of the problem, assume that each piis a power of 2 (that is, of the form 1/2k). Suppose a long sequence of msamples is drawn from the distribution and that for all 1in, the ithoutcome occurs exactly times in the sequence. Show that if Huffman encoding is applied to this sequence, the resulting encoding will have length

i-1nmpilog1pi

b. Now consider arbitrary distributions-that is, the probabilities pi are noy restricted to powers of 2. The most commonly used measure of the amount of randomness in the distribution is the entropy.

i-1nmpilog1pi

For what distribution (over outcomes) is the entropy the largest possible? The smallest possible?

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