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In this unit, the following four advanced data structures have been practically emphasized. These may be considered as alternative to a height balanced tree, i.e., AVL tree.
The key factors that have been discussed in this unit about the above mentioned data structures include complexity of code in terms of Big oh notation, cost involved in searching a node, the process of deletion of a node and the cost involved in inserting a node.
After going through this unit, you should be able to:
Definition: A set of data values & related operations that are accurately specified independent of any particular implementation. As the data values and operations are described
What is quick sort? Quick sort is a sorting algorithm that uses the idea if split and conquer. This algorithm chooses an element called as pivot element; search its position in
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
reverse the order of elements on a stack S using two additional stacks using one additional stack
algorithms
Q. What is the smallest value of n such that an algorithm whose running time is 100n2 runs faster than an algorithm whose running time is 2n on the same machine. A n
The following are several operations on a AA-tree: 1. Searching: Searching is done using an algorithm which is similar to the search algorithm of a binary search tree. 2. Ins
a) Find the shortest paths from r to all other nodes in the digraph G=(V,E) shown below using the Bellman-Ford algorithm (as taught in class). Please show your work, and draw the f
Q. Write down the binary search algorithm and trace to search element 91 in following given list: 13 30 62 73 81 88 91
Handout 15 COMP 264: Introduction to Computer Systems (Section 001) Spring 2013 R. I. Greenberg Computer Science Department Loyola University Water TowerCampus, Lewis Towers 524 82
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