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Computer Science is largely concerned about a single question - how long does it take to execute a given algorithm? But computer scientists don't give the answer in minutes or milliseconds; they give it relative to the number of elements the algorithm has to manipulate resulting into formation of computational complexity theory. For entry level students in Data Structures and Analysis of Algorithms, understanding this theory is quite hard as literature review seen so far is dedicated to classifying problems by how hard they are. We have attempted for rigorous analysis of literature review and discovered different types of problems. A division of problem space is suggested in order to put these concepts in simple and conceptually understandable format. Keywords - Complexity Theory, P, NP completeness

EASY UNDERSTANDING OF COMPUTATIONAL COMPLEXITY THEORY – A STUDENT’S PERSPECTIVE