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Data Structure and Algorithm
1. Explain linked list and its types. How do you represent linked list in memory?
2. List and elucidate the types of binary tree.
3. Describe Euler's Digraphs with one example.
4. Differentiate Optimization problems and decision problems related to theory of NP Completeness.
5. Explain the Characteristics of an Algorithm? Explain.
6. Describe the Algorithm that shows how binary search works for n elements where n ≥ 0.
A shop sells books, magazines and maps. Every item is identified by a unique 4 - digit code. All books have a code which starts with 1, all maps have a code starting with 2 and all
a. Explain the sum of subset problem. Apply backtracking to solve the following instance of sum of subset problem: w= (3, 4, 5, 6} and d = 13. Briefly define the method using a sta
1. Show the effect of each of the following operations on queue q. Assume that y (type Character) contains the character ‘&’. What are the final values of x and success (type boole
Write an algorithm for multiplication of two sparse matrices using Linked Lists.
HSV Colour Model Instead of a set of colour primaries, the HSV model uses colour descriptions that have a more intuitive appeal to a user. To give a colour specification, a use
Your first task will be to come up with an appropriate data structure for representing numbers of arbitrary potential length in base 215. You will have to deal with large negative
What is a height balanced tree? Height Balanced Tree (AVL Tree) An AVL tree is a binary search tree in which the height of the left and right subtree of the root vary by at most
Normally a potential y satisfies y r = 0 and 0 ³ y w - c vw -y v . Given an integer K³0, define a K-potential to be an array y that satisfies yr = 0 and K ³ y w - c vw -y v
Give an algorithm to find both the maximum and minimum of 380 distinct numbers that uses at most 568 comparisons.
Inorder traversal: The left sub tree is visited, then the node and then right sub-tree. Algorithm for inorder traversal is following: traverse left sub-tree visit node
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