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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.
#2 example of recursion
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Q. Convert the given infix expression into the postfix expression (also Show the steps) A ∗ (B + D)/ E - F(G + H / k ) Ans. Steps showing Infix to Post fix
boundary tag system in data structure?
The minimum cost spanning tree has broad applications in distinct fields. It represents several complicated real world problems such as: 1. Minimum distance for travelling all o
A linear collection of data elements where the linear node is given by means of pointer is known as Linked list
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