What Is Algorithmic Complexity?

Computational complexity theory focuses on classifying computational problems according to their resource usage, and relating these classes to each other. A computational problem is a task solved by a computer. A computation problem is solvable by mechanical application of mathematical steps, such as an algorithm.

What do you mean by algorithm complexity?

Complexity of an algorithm is a measure of the amount of time and/or space required by an algorithm for an input of a given size (n).

What is algorithmic complexity in data structure?

Algorithmic complexity is a measure of how long an algorithm would take to complete given an input of size n. If an algorithm has to scale, it should compute the result within a finite and practical time bound even for large values of n. For this reason, complexity is calculated asymptotically as n approaches infinity.