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Example: Assume the following of code:
x = 4y + 3 z = z + 1
p = 1
As we have been seen, x, y, z and p are all scalar variables & the running time is constant irrespective of the value of x,y,z and p. Here, we emphasize that each of line of code might take different time, to execute, however the bottom line is that they will take constant amount of time. Therefore, we will describe run time of each line of code as O(1).
A graph G might be defined as a finite set V of vertices & a set E of edges (pair of connected vertices). The notation utilized is as follows: Graph G = (V, E) Consider the g
Explain principle of Optimality It indicates that an optimal solution to any instance of an optimization problem is composed of optimal solutions to its subinstances.
This notation gives an upper bound for a function to within a constant factor. Given Figure illustrates the plot of f(n) = O(g(n)) depend on big O notation. We write f(n) = O(g(n))
1) Which graph traversal uses a queue to hold vertices which are to be processed next ? 2) Which of the graph traversal is recursive by nature? 3) For a dense graph, Prim's a
Q. Give the adjacency matrix for the graph drawn below: Ans: Adjacency matrix for the graph given to us
Program: Creation of a Circular linked list ALGORITHM (Insertion of an element into a Circular Linked List) Step 1 Begin Step 2 if the list is empty or new
Implement a linear-expected-time algorithm for selecting the k th smallest element Algorithm description 1. If |S| = 1, then k = 1 and return the element in S as the an
Describe different methods of developing algorithms with examples.
W h at are the different ways by which we can represent graph? Represent the graph drawn below using those ways. T he d iff e r e nt w a y s by
Q. Explain the Hash Tables, Hash function and Hashing Techniques properly? A n s . H as h Table is explained as follows : A hash table is a data struc
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