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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.
Algorithm for Z-Buffer Method (a) Initialize every pixel in the viewport to the smallest value of z, namely z0 the z-value of the rear clipping plane or "back-ground". Store a
Write an algorithm for multiplication of two sparse matrices using Linked Lists.
Spanning Trees: A spanning tree of a graph, G, refer to a set of |V|-1 edges which connect all vertices of the graph. There are different representations of a graph. They are f
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 algorithm inputs 3 numbers, every number goes through successive division by 10 until its value is less than 1. An output is produced which comprise the number input and a val
The time needed to delete a node x from a doubly linked list having n nodes is O (1)
how to design a cache simulator with 4-way set associative cache
A binary tree in which if all its levels except possibly the last, have the maximum number of nodes and all the nodes at the last level appear as far left as possible, is called as
Explain about the String Abstract data type operations Symbol ADT has no concatenation operations, but presuming we have a full-featured String ADT, symbols can be concatenated
prove that n/100=omega(n)
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