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Theorem 7.16: Every CFL is a member of P Proof: Let G be a Chomsky normal form grammar for language L. The following O(n 3 ) algorithm decides whether G accepts w, where n is the length of w :

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O(n 3 ) Parsing Algorithm (Dynamic Programming) 1. If w = and S → is a rule, accept. 2. For i = 1 to n:// examine each substring of length one 3. For each variable A: 4.Test whether A → b is a rule, where b = w i. 5.If so, place A in table (i, i). 6.For l = 2 to n:// l is the length of the substring 7.For i = 1 to n – l + 1:// i is the start position of the substring 8.Let j = i + l – 1// j is the end position of the substring 9.For k = i to j – 1// k is the split position 10.For each rule A → BC 11.If table (i, k) contains B and table (k+1, j) contains C, put A in table (i, j) 12.If S is in table (1, n), accept; otherwise, reject

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Why is it O(n 3 ) ? 1. If w = and S → is a rule, accept. 2. For i = 1 to n:// examine each substring of length one 3. For each variable A: 4.Test whether A → b is a rule, where b = w i. 5.If so, place A in table (i, i). 6.For l = 2 to n:// l is the length of the substring 7.For i = 1 to n – l + 1:// i is the start position of the substring 8.Let j = i + l – 1// j is the end position of the substring 9.For k = i to j – 1// k is the split position 10.For each rule A → BC 11.If table (i, k) contains B and table (k+1, j) contains C, put A in table (i, j) 12.If S is in table (1, n), accept; otherwise, reject Each of steps 6, 7, 9 runs at most n times:

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Example Consider L = a n b n Familiar grammar is S → ASB | Convert to CNF: S 0 → AB | CB | C → AS S → CB | AB A → a B → b Try w = aabb |w| = 4, so table will be 4 4:

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A A B B 2. For i = 1 to n: 3. For each variable A: 4.Test whether A → b is a rule, where b = w i. 5.If so, place A in table (i, i). A → a B → b

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6.For l = 2 to n:// l is the length of the substring 7.For i = 1 to n – l + 1:// i is the start position of the substring 8.Let j = i + l – 1// j is the end position of the substring 9.For k = i to j – 1// k is the split position li jk 2 1 2 2 3 2 2 3 4 3 3 1 3 1 3 2 3 2 4 2 3 2 4 3 4 1 4 1 4 2 4 1 4 3

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10.For each rule A → BC 11.If table (i, k) contains B and table (k+1, j) contains C, put A in table (i, j) i kk+1jtable(i, k)table(k+1, j) 2 233AB A A S0,SS0,S B B S 0 → AB S 0 → CB C → AS S → AB S → CB

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10.For each rule A → BC 11.If table (i, k) contains B and table (k+1, j) contains C, put A in table (i, j) i kk+1jtable(i, k)table(k+1, j) 1 123AS AC A S0,SS0,S B B S 0 → AB S 0 → CB C → AS S → AB S → CB

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10.For each rule A → BC 11.If table (i, k) contains B and table (k+1, j) contains C, put A in table (i, j) i kk+1jtable(i, k)table(k+1, j) 1 344CB ACS0S0 A S0,SS0,S B B S 0 → AB S 0 → CB C → AS S → AB S → CB

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12.If S is in table (1, n), accept; otherwise, reject ACS0S0 A S0,SS0,S B B

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Lecture # 31 Theory Of Automata By Dr. MM Alam 1.

Lecture # 31 Theory Of Automata By Dr. MM Alam 1.

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