Q: Similarity bw NFA and DFA

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DFA - deterministic finite automata NFA - non-deterministic finite automata

DFA - Deterministic Finite Automata NFA - Non-Deterministic Finite Automata Both DFAs and NFAs are abstract machines which can be used to describe languages.

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Using the language: L_n = (0+1)^* 0 (0+1)^n (all the words that have the letter '0' n letters before their end) -There is a small NFA: this is easy - guess when there is going to be 0 and then count to n. -There is no small DFA: assume there is- then there are two n-sized vectors, u and v, such that they reach the same state q in the automaton. We'll observe the last place these two vectors differ - let that be the position m (m<=n). We'll create the words w1 and w2 that are: w1 = u 1^m and w2=v 1^m - assuming that u[m]=0 and v[m]=1, w1 is in L_n and w2 isn't. But the automaton accepts one iff it accepts the other - contradiction.

here first we looking on the given diagram and after this we select all the incoming input like in q1 all the input are q1=q2 0+ q1 1 or q2=q3 1 + q2 0 q1 is a state and when q2 sent 0 then its going to q1 so the value add into the q1 ok same in q2...

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Yes, any NFA can be converted into an equivalent DFA. because there is an equivalence in between an NFA and DFA

DFA - deterministic finite automata NFA - non-deterministic finite automata

DFA - Deterministic Finite Automata NFA - Non-Deterministic Finite Automata Both DFAs and NFAs are abstract machines which can be used to describe languages.

To convert an epsilon nfa to a dfa you need to do an intermediate step. We know: Regular expression > epsilon nfa > nfa > DFA We cannot skip steps here. To convert an epsilon nfa to an nfa, first you need to make a transition table for the epsilon nfa. In the transition table, just do not include the epsilons, meaning only transitions to sets of states. Also remember that you can use epsilon transitions, however an input must be consumed as well to move to another state. As well all states that can be reached only by epsilon transitions become final states. After you have the resulting transition table for the nfa, you can now make a dfa. All sets of states that are reachable in the nfa become single states in the dfa.

aop

Hi, 1. DFA cannot use empty string transition and NFS can use empty string transition. 2. It use one machine but it use multiple machine. 3. DFA is one state transition but NFA react according to some symbol.

1. Every state of DFA always has exactly one exiting transition arrow for each symbol in the alphabet. In NFA a state may have zero, one or many exiting arrow for each alphabet. 2. NFA can use empty string transition but DFA can not use it.

DFA stands for Deterministic finite automaton and NFA stands for Nondeterministic finite automaton.Formally, an automaton is made up of: were delta is the transition function. In a DFA, delta takes as input a state and letter and returns only one state. In an NFA, delta takes as input a state and letter but returns a set of states.An NFA accepts a word iff there exists a run of the automaton on it (intuitively, the automaton guesses an accepting run). A DFA has only one run on every word and therefore accepts a word iff the single run on it is accepting.

DFA stands for Deterministic Finite Automaton NFA stands for Non-Deterministic Finite AutomatonWhen processing a string in a DFA, there is always a unique state to go next when each character is read. It is because for each state in DFA, there is exactly one state that corresponds to eachcharacter being read.In an NFA, several choices (or no choice) may exist for the next state•Can move to more than 1 states, or nowhere•Can move to a state without reading anything1. The transition function for nfa ie delta is multi valued where as for dfa it is single valued.2. Checking membership is easy with dfa where as it is difficult for nfa3. Construction of nfa is very easy where as for dfa it is difficult4. Space required for dfa is more where for nfa it is less5. Backtracking is allowed in dfa,but it is not possible in every casi in nfa.6. For every input and output we can constuct dfa machine,but it is not possible to construct an nfa machine for every input and output.7. There is only 1 final state in nfa but there can be more then 1 final state in dfa.A finite automata, in which after consuming an input symbol, automata makes it's transition to only one state, is called as the deterministic finite automata or DFA. p(current state)----->input symbol------> state q(next state)A finite automata, in which after consuming an input symbol, automata can make it's transition more one state, is called as the nondeterministic finite automata or NFA.p(current state)----->input symbol------> state q(first guessing)--->state r( next guessing)i.e. a nfa can guess the next states and if any guess proves to be right later than it get stuck and continue with other guesses.

A deterministic Finite Automata)DFA will have a single possible output for a given input.The answer is deterministic because you can always feel what the output will be.A (Nondeterministic Finite Automata)NFA will have at least one input which will cause a "choice" to be made during a state transition,unlike a (deterministic Finite Automata)DFA one input can cause multiple outputs for a given (Nondeterministic Finite Automata)NFA.

In general, finite state machines can model regular grammars. Deterministic finite automata can represent deterministic context-free grammars. Non-deterministic finite automata can represent context-free grammars.

in 1965 the NFA joined with FFA