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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.
Q. Write down a non recursive algorithm to traverse a binary tree in order. Ans: N on - recursive algorithm to traverse a binary tree in inorder is as
Varieties of Arrays In some languages, size of an array should be established once and for all at program design time and can't change during execution. Such arrays are known a
What is called the basic operation of an algorithm? The most significant operation of the algorithm is the operation contributing the most to the total running time is known as
Explain in detail the algorithmic implementation of multiple stacks.
I want to example for midsquare method
Implementing abstract data types A course in data structures and algorithms is hence a course in implementing abstract data types. It may seem that we are paying a lot of atten
what is an algorithms
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for i=1 to n if a[i}>7 for j=2 to n a[j]=a{j}+j for n=2 to n a[k]=a[j]+i else if a[1]>4 && a[1] for 2 to a[1] a[j]= a{j]+5 else for 2to n a[j]=a[j]+i ..
code for count and display
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