NFA Vs. DFA: Explore the Difference between NFA and DFA
What is DFA?
The DFA stands for deterministic finite automata. If any machine reads an input string one at a time then any finite automata is called deterministic finite automata. The DFA is also known as the uniqueness of computation and has a single path for input from the current state to the next state. It is a set of five tuples such as:
M = (Q, Σ, δ, q0, F)
1. Q is a finite set of states.
2. Σ is an alphabet, and the DFA processes strings over Σ.
3. δ: Q × Σ → Q is the transition function. • δ defines the label on each edge.
4. q0 ∈ Q is the start state (or initial state).
5. F ⊆ Q is the set of accepted states (or final states).
What is NFA?
The full form of NFA is Non- deterministic finite automata. When there are multiple paths for specific input from current state to next state then it is called Non- deterministic finite automata.
Difference Between DFA and NFA
|1||The full form of DFA is Deterministic Finite Automata.||The full form of NFA is Nondeterministic Finite Automata (NFA).|
|2||It is not competent in handling an Empty String transition.||It is competent to handle an empty string transition.|
|3||In DFA, only a sole state transition can be accomplished for each symbolic representation of the characters.||In NFA, no particulars are required from the users.|
|4||It can be defined as one machine.||Multiple machines execute computational tasks at the same time.|
|5||In DFA, backtracking is allowed.||In NFA, backtracking is not allowed.|
|6||In DFA, empty string transitions are not noticed.||It allows empty string transition.|
|7||It is tough to construct a DFA.||It is easy to construct a NFA.|
|8||It needs more space.||It needs less space.|
|9||The complete time needed for managing any input string in DFA is shorter than NFA.||The complete time needed for managing any input string in NFA is larger than DFA.|
|10||All DFA are considered as NFA.||All NFA are not considered as DFA.|