Web Reference: Jul 23, 2025 · Complexity analysis is defined as a technique to characterise the time taken by an algorithm with respect to input size (independent from the machine, language and compiler). While complexity is usually in terms of time, it is also analyzed in terms of space i.e. algorithm's memory requirements. In this DSA tutorial, we will look in detail at every aspect of complexity analysis ranging from its need to the different types of complexities. DSA proficiency is valued by 90% of software engineering recruiters. The complexity of an algorithm is a function describing the efficiency of the algorithm in terms of the amount of data the algorithm must process. Usually there are natural units for the domain and range of this function.
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