'Deterministic automata' presentation slideshows

Non Deterministic Automata

Non Deterministic Automata. Nondeterministic Finite Accepter (NFA). Alphabet =. Nondeterministic Finite Accepter (NFA). Alphabet =. Two choices. Nondeterministic Finite Accepter (NFA). Alphabet =. Two choices. No transition. No transition. First Choice. First Choice. First Choice.

1.31k views • 115 slides

Non Deterministic Automata

Non Deterministic Automata. Nondeterministic Finite Accepter (NFA). Alphabet =. Nondeterministic Finite Accepter (NFA). Alphabet =. Two choices. Nondeterministic Finite Accepter (NFA). Alphabet =. Two choices. No transition. No transition. First Choice. First Choice. First Choice.

1.13k views • 113 slides

Non Deterministic Automata

Non Deterministic Automata. Nondeterministic Finite Accepter (NFA). Alphabet =. Nondeterministic Finite Accepter (NFA). Alphabet =. Two choices. Nondeterministic Finite Accepter (NFA). Alphabet =. Two choices. No transition. No transition. First Choice. First Choice. First Choice.

944 views • 85 slides

Non Deterministic Automata

Non Deterministic Automata. Nondeterministic Finite Accepter (NFA). Alphabet =. Nondeterministic Finite Accepter (NFA). Alphabet =. Two choices. Nondeterministic Finite Accepter (NFA). Alphabet =. Two choices. No transition. No transition. First Choice. First Choice. First Choice.

585 views • 58 slides

Algorithms for hard problems Automata and tree automata

Algorithms for hard problems Automata and tree automata. Juris Viksna, 2013. Finite deterministic automata. initial state. accepting state. transition. state. [Adapted from P.Drineas]. Finite deterministic automata. Finite Automaton (FA). : set of states. : input alphabet.

864 views • 56 slides

Avoiding Determinization

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Avoiding Determinization

520 views • 51 slides

MCS680: Foundations Of Computer Science

int MSTWeight(int graph[][], int size) { int i,j; int weight = 0; for(i=0; i<size; i++) for(j=0; j<size; j++) weight+= graph[i][j]; return weight; }. 1 1. O (1) O (1). O (n). O (n). n. n. Running Time = 2 O (1) + O (n 2 ) = O (n 2 ).

358 views • 23 slides

Solution

Solution. Prove by induction the following statement: If there is an edge connecting every pair of nodes in a graph G and n is the number of nodes in G, then the number of edges in G is n(n-1)/2. Finite Automata (Deterministic) (Chapter 1).

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Deterministic Finite Automata (DFAs)

Deterministic Finite Automata (DFAs). Reminder: Functions vs Relations. Let P = {p: p is a person} M = {m: m is a male}. S 1 = {(m,p): m is in M, p is in P and m is the father of m} S 2 = {(m,p): m is in M, p is in P and m is an ancestor of m}. True or false: S 1 ? M ? P

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Learning Outcomes

Learning Outcomes. Mahasiswa dpt membandingkan berbagai bentuk algoritma FA untuk suatu ekspresi/Syntax program agar dapat dianalisis diterima/ditolak. Outline Materi:. FA sebagai model komputasi Gambaran FA dgn digraph Definisi formal Analisis FA NFA Aplikasi state transduser. b. b. b.

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Nondeterministic Automata vs Deterministic Automata

Nondeterministic Automata vs Deterministic Automata.

156 views • 6 slides