Types of Asymptotic Notations in Complexity Analysis of Algorithms

Why is Analysis of Algorithm important?

Last Updated : 11 Nov, 2024

Why is Performance of Algorithms Important ? There are many important things that should be taken care of, like user-friendliness, modularity, security, maintainability, etc. Why worry about performance? The answer to this is simple, we can have all the above things only if we have performance. So performance is like currency through which we can buy all the above things. Another reason for studying performance is – speed is fun! To summarize, performance == scale. Imagine a text editor that can load 1000 pages, but can spell check 1 page per minute OR an image editor that takes 1 hour to rotate your image 90 degrees left OR … you get it. If a software feature can not cope with the scale of tasks users need to perform – it is as good as dead.

Algorithm analysis is an important part of computational complexity theory, which provides theoretical estimation for the required resources of an algorithm to solve a specific computational problem. Analysis of algorithms is the determination of the amount of time and space resources required to execute it.

Why Analysis of Algorithms is important?

To predict the behavior of an algorithm for large inputs (Scalable Software).
It is much more convenient to have simple measures for the efficiency of an algorithm than to implement the algorithm and test the efficiency every time a certain parameter in the underlying computer system changes.
More importantly, by analyzing different algorithms, we can compare them to determine the best one for our purpose.

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Types of Asymptotic Notations in Complexity Analysis of Algorithms

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