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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

Give the state of the disjoint-sets data structure after the following sequence of operations, starting from singleton sets 1,โ€ฆ,8. Usepath compression. In the case of ties, always make the lower numbered root point to the higher numbered ones.

union1,2,union3,4,union5,6,union7,8

,union1,4,union6,7,union4,5,find1

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}

Sometimes we want light spanning trees with certain special properties. Hereโ€™s an example.

Input: Undirected graph G=(V,E) ; edge weights we; subset of vertices UโŠ‚V

Output: The lightest spanning tree in which the nodes of U are leaves (there might be other leaves in this tree as well).

(The answer isnโ€™t necessarily a minimum spanning tree.)

Give an algorithm for this problem which runs in O(ElogV) time. (Hint: When you remove nodes Ufrom the optimal solution, what is left?)

A prefix-free encoding of a finite alphabet ฮ“ assigns each symbol in ฮ“ a binary codeword, such that no codeword is a prefix of another codeword. A prefix-free encoding is minimal if it is not possible to arrive at another prefix-free encoding (of the same symbols) by contracting some of the keywords. For instance, the encoding {0,101} is not minimal since the codeword 101 can be contracted to 1 while still maintaining the prefix-free property.

Show that a minimal prefix-free encoding can be represented by a full binary tree in which each leaf corresponds to a unique element of ฮ“, whose codeword is generated by the path from the root to that leaf (interpreting a left branch as 0 and a right branch as 1 ).

Consider an undirected graph G=(V,E)with nonnegative edge weights role="math" localid="1658915178951" weโ‰ฅ0. 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" sโˆˆV. 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.

(b) Do the shortest paths change? Give an example where they change or prove they cannot change.

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