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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.
Graph terminologies : Adjacent vertices: Two vertices a & b are said to be adjacent if there is an edge connecting a & b. For instance, in given Figure, vertices 5 & 4 are adj
Give an algorithm to find both the maximum and minimum of 380 distinct numbers that uses at most 568 comparisons.
Ask question Write an algorithm for the evaluation of a postfix expression using a stack#Minimum 100 words accepted#
What is multiple queue and explain them
Question 1 Write a program in 'C' to read N numbers and print them in descending order Question 2 Discuss the properties of ADT Question 3 Write a note on
1. Write a pseudocode algorithm to print the numbers from 1 to 10, and then from 10 to 1, using exactly one loop. 2. The function contains() takes a food as an argument and tell
Range: A Structured Type in Ruby Ruby has a numerous structured types, comprising arrays, hashes, sets, classes, streams, and ranges. In this section we would only discuss rang
Define Complete Binary Tree Complete Binary Tree:- A whole binary tree of depth d is that strictly binary tree all of whose leaves are at level D.
what are the disadvantages of sparse matrix?
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