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An algorithm is a sequence of steps to solve a problem; there may be more than
one algorithm to solve a problem. The choice of a particular algorithm depends upon following consideration:-
1) Time Complexity
2) Space Complexity
Time Complexity:- The time complexity of an algorithm is the amount of time it needs to run to completion. Some of the reasons for studying time complexity are:-
We may be interested to know in advance whether the program will provide a satisfactory real time response.
There may be several possible solutions with different time requirement.
Space Complexity:- The space complexity of an algorithm is the amount of memory it needs to run to completion. Some of the reasons to study space complexity are: -
There may be several possible solutions with in different space requirement.
To estimate the size of the largest problem that a program can solve.
Define Spanning Tree A Spanning Tree of a connected graph is its linked acyclic sub graph (i.e., a tree) that having all the vertices of the graph.
Differentiate between Nonpersistent and 1-persistent Nonpersistent: If the medium is idle, transmit; if the medium is busy, wait an amount of time drawn from a probability dist
Write c++ function to traverse the threaded binary tree in inorder traversal
Demonstration of Polynomial using Linked List # include # include Struct link { Char sign; intcoef; int expo; struct link *next; }; Typedefstruct link
Q. Take an array A[20, 10] of your own. Suppose 4 words per memory cell and the base address of array A is 100. Find the address of A[11, 5] supposed row major storage.
The location of a node in a binary search tree is defined as a string such as LLRRL, which represents the node that you find by starting at the root, and traversing Left, traverse
This algorithm inputs 5 values and outputs how many input numbers were positive and how many were negative. Data to be used: N = 1, -5, 2, -8, -7
#question.show that the following inequality is correct or incorrect. n!=O(n^n)
Program: Program segment for insertion of an element into the queue add(int value) { struct queue *new; new = (struct queue*)malloc(sizeof(queue)); new->value = val
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
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