The document describes three methods for minimizing a deterministic finite automaton (DFA): the partitioning method, the equivalence theorem, and Myhill-Nerode theorem. The partitioning method iteratively partitions the states into equivalences classes until no further partitions can be made. The equivalence theorem removes unreachable and equivalent states by comparing the transitions of each state pair. The Myhill-Nerode theorem marks state pairs where one is final and one is not, then iteratively marks additional pairs based on their transitions until no more can be marked, with unmarked pairs becoming equivalent states.
The process of reducing a given DFA to its minimal form is called as minimization of DFA. DFA minimization is also called as Optimization of DFA and uses partitioning algorithm.
The process of reducing a given DFA to its minimal form is called as minimization of DFA. DFA minimization is also called as Optimization of DFA and uses partitioning algorithm.
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The term "Automata" is derived from the Greek word "αὐτόματα" which means "self-acting". An automaton (Automata in plural) is an abstract self-propelled computing device which follows a predetermined sequence of operations automatically.
Minimization or minimal DFS which means if you constructed a DFA on your own you might not get the same answer wish I got, but we get some DFA’s because some experience. Now the question is can we take any DFA and prove that or the DFA can be minimized, so that is called minimization of DFA
Breadth First Search & Depth First SearchKevin Jadiya
The slides attached here describes how Breadth first search and Depth First Search technique is used in Traversing a graph/tree with Algorithm and simple code snippet.
Finite Automata: Deterministic And Non-deterministic Finite Automaton (DFA)Mohammad Ilyas Malik
The term "Automata" is derived from the Greek word "αὐτόματα" which means "self-acting". An automaton (Automata in plural) is an abstract self-propelled computing device which follows a predetermined sequence of operations automatically.
Minimization or minimal DFS which means if you constructed a DFA on your own you might not get the same answer wish I got, but we get some DFA’s because some experience. Now the question is can we take any DFA and prove that or the DFA can be minimized, so that is called minimization of DFA
These slides were submitted by Muskan Bathla, Nivedit Jain and Sanskar Mani (all sophomore undergrad in Computer Science and Engineering) as a part of lecture scribing for Theory of Computation Course at Indian Institute of Technology Jodhpur, under the guidance of Dr. Anand Mishra, IIT Jodhpur
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Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
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3. Partitioning method
• DFA minimization stands for converting a given DFA to its equivalent DFA
with minimum number of states.
• Minimization of DFA
Suppose there is a DFA D < Q, Σ, q0, δ, F > which recognizes a language L.
Then the minimized DFA D < Q’, Σ, q0, δ’, F’ > can be constructed for
language L as:
Step 1: Divide Q (set of states) into two sets. One set will contain all final
states and other set will contain non-final states. This partition is called P0.
Step 2: Initialize k = 1
Step 3: Find Pk by partitioning the different sets of Pk-1. In each set of Pk-1,
we will take all possible pair of states. If two states of a set are
distinguishable, we will split the sets into different sets in Pk.
Step 4: Stop when Pk = Pk-1 (No change in partition)
Step 5: All states of one set are merged into one. No. of states in minimized
DFA will be equal to no. of sets in Pk.
4. • How to find whether two states in partition Pk are
distinguishable ?
Two states ( qi, qj ) are distinguishable in partition Pk if for any
input symbol a, δ ( qi, a ) and δ ( qj, a ) are in different sets in
partition Pk-1.
5. • Step 1. P0 will have two sets of states. One set will contain q1, q2,
q4 which are final states of DFA and another set will contain
remaining states. So P0 = { { q1, q2, q4 }, { q0, q3, q5 } }.
Step 2. To calculate P1, we will check whether sets of partition P0
can be partitioned or not:
• i) For set { q1, q2, q4 } :
δ ( q1, 0 ) = δ ( q2, 0 ) = q2 and δ ( q1, 1 ) = δ ( q2, 1 ) = q5, So q1
and q2 are not distinguishable.
Similarly, δ ( q1, 0 ) = δ ( q4, 0 ) = q2 and δ ( q1, 1 ) = δ ( q4, 1 ) = q5,
So q1 and q4 are not distinguishable.
Since, q1 and q2 are not distinguishable and q1 and q4 are also not
distinguishable, So q2 and q4 are not distinguishable. So, { q1, q2,
q4 } set will not be partitioned in P1.
6. • ii) For set { q0, q3, q5 } :
δ ( q0, 0 ) = q3 and δ ( q3, 0 ) = q0
δ ( q0, 1) = q1 and δ( q3, 1 ) = q4
Moves of q0 and q3 on input symbol 0 are q3 and q0 respectively
which are in same set in partition P0. Similarly, Moves of q0 and q3
on input symbol 1 are q3 and q0 which are in same set in partition
P0. So, q0 and q3 are not distinguishable.
• δ ( q0, 0 ) = q3 and δ ( q5, 0 ) = q5 and δ ( q0, 1 ) = q1 and δ ( q5, 1 )
= q5
Moves of q0 and q5 on input symbol 1 are q1 and q5 respectively
which are in different set in partition P0. So, q0 and q5 are
distinguishable. So, set { q0, q3, q5 } will be partitioned into { q0, q3
} and { q5 }. So,
P1 = { { q1, q2, q4 }, { q0, q3}, { q5 } }
• To calculate P2, we will check whether sets of partition P1 can be
partitioned or not:
7. • iii)For set { q1, q2, q4 } :
δ ( q1, 0 ) = δ ( q2, 0 ) = q2 and δ ( q1, 1 ) = δ ( q2, 1 ) = q5, So q1 and
q2 are not distinguishable.
Similarly, δ ( q1, 0 ) = δ ( q4, 0 ) = q2 and δ ( q1, 1 ) = δ ( q4, 1 ) = q5, So
q1 and q4 are not distinguishable.
Since, q1 and q2 are not distinguishable and q1 and q4 are also not
distinguishable, So q2 and q4 are not distinguishable. So, { q1, q2, q4 }
set will not be partitioned in P2.
• iv)For set { q0, q3 } :
δ ( q0, 0 ) = q3 and δ ( q3, 0 ) = q0
δ ( q0, 1 ) = q1 and δ ( q3, 1 ) = q4
Moves of q0 and q3 on input symbol 0 are q3 and q0 respectively
which are in same set in partition P1. Similarly, Moves of q0 and q3 on
input symbol 1 are q3 and q0 which are in same set in partition P1. So,
q0 and q3 are not distinguishable.
8. v) For set { q5 }:
Since we have only one state in this set, it can’t be further
partitioned.
So, P2 = { { q1, q2, q4 }, { q0, q3 }, { q5 } }
Since, P1=P2. So, this is the final partition. Partition P2 means
that q1, q2 and q4 states are merged into one. Similarly, q0 and
q3 are merged into one. Minimized DFA corresponding to DFA of
Figure 1 is shown in Figure 2 as:
9. Equivalence theorem
• Step 1: Remove all the states that are unreachable from the initial
state via any set of the transition of DFA.
• Step 2: Draw the transition table for all pair of states.
• Step 3: Now split the transition table into two tables T1 and T2. T1
contains all final states, and T2 contains non-final states.
• Step 4: Find similar rows from T1 such that:
1. δ (q, a) = p
2. δ (r, a) = p
• That means, find the two states which have the same value of a and
b and remove one of them.
• Step 5: Repeat step 3 until we find no similar rows available in the
transition table T1.
• Step 6: Repeat step 3 and step 4 for table T2 also.
• Step 7: Now combine the reduced T1 and T2 tables. The combined
transition table is the transition table of minimized DFA.
10.
11. Step 1: In the given DFA, q2 and q4 are the unreachable states so
remove them.
Step 2: Draw the transition table for the rest of the states.
Step 3: Now divide rows of transition table into two sets as:
1.One set contains those rows, which start from non-final
states:
2. Another set contains those rows, which starts from final
states.
State 0 1
→q0 q1 q3
q1 q0 q3
*q3 q5 q5
*q5 q5 q5
12. Step 4: Set 1 has no similar rows so set 1 will be the same.
Step 5: In set 2, row 1 and row 2 are similar since q3 and
q5 transit to the same state on 0 and 1. So skip q5 and
then replace q5 by q3 in the rest.
Step 6: Now combine set 1 and set 2 as:
State 0 1
q3 q5 q5
q5 q5 q5
State 0 1
q0 q1 q3
q1 q0 q3
13.
14. DFA Minimization using Myphill-Nerode
Theorem
Algorithm
• Input − DFA
• Output − Minimized DFA
• Step 1 − Draw a table for all pairs of states (Qi, Qj) not necessarily
connected directly [All are unmarked initially]
• Step 2 − Consider every state pair (Qi, Qj) in the DFA where Qi ∈ F
and Qj ∉ F or vice versa and mark them. [Here F is the set of final
states]
• Step 3 − Repeat this step until we cannot mark anymore states −
• If there is an unmarked pair (Qi, Qj), mark it if the pair {δ (Qi, A), δ
(Qi, A)} is marked for some input alphabet.
• Step 4 − Combine all the unmarked pair (Qi, Qj) and make them a
single state in the reduced DFA.
15. a b c d e f
a
b
c
d
e
f
.
Step 1 − Draw a table for all pair of states
d
c
16. a b c d e f
a
b
c ✔ ✔
d ✔ ✔
e ✔ ✔
f ✔ ✔ ✔
Step 2 − mark the state pairs. where Qi ∈ F and Qj ∉ F or vice
versa and mark them.
17. Step 3 − Repeat this step until we cannot mark anymore states
If there is an unmarked pair (Qi, Qj), mark it if the pair {δ (Qi, A),
δ (Qi, A)} is marked for some input alphabet.
a b c d e f
a
b
c ✔ ✔
d ✔ ✔
e ✔ ✔
f ✔ ✔ ✔ ✔ ✔
18. Step 4: Combine all the unmarked pairs and make them a single
state in the minimized DFA