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CSC 344 – Algorithms and Complexity Analysis of Algorithms

What is complexity and analysis of algorithms?
The complexity of an algorithm computes the amount of time and spaces required by an algorithm for an input of size (n).
The complexity of an algorithm can be divided into two types.
The time complexity and the space complexity.
What is algorithms and complexity?
The (computational) complexity of an algorithm is a measure of the amount of computing resources (time and space) that a particular algorithm consumes when it runs.
How do you measure the complexity of an algorithm?
To express the time complexity of an algorithm, we use something called the “Big O notation”.
The Big O notation is a language we use to describe the time complexity of an algorithm.
It's how we compare the efficiency of different approaches to a problem, and helps us to make decisions.
There are three types of analysis of algorithms.
They are the Best case, Average case, and Worst case.

What is complexity and analysis of algorithms?