Better Utilization of NDFA Over DFA with the Existing Problems

Non-deterministic Finite-Automata (NDFA) and Deterministic-Finite-Automata (DFA) are fundamental computational models with different characteristics. This paper is inclined towards assessing and presenting gripping evidences for the utilization of NDFA over DFA in various domains. We analyzed studies and practical cases where NDFA outperforms DFA, radiating light on the practical advantages of NDFA in terms of computational efficiency. This aims to provide an extensive review of the benefits of NDFA in comparison to DFA, facilitating important decisions when selecting the appropriate automaton for specific computing tasks.