Push Down Automata (PDA) | TOC (Theory of Computation) | NPDA | DPDAAshish Duggal
Push Down Automata (PDA) is part of TOC (Theory of Computation)
From this presentation you will get all the information related to PDA also it will help you to easily understand this topic. There is also one example.
This PPT is very helpful for Computer science and Computer Engineer
(B.C.A., M.C.A., B.TECH. , M.TECH.)
Push Down Automata (PDA) | TOC (Theory of Computation) | NPDA | DPDAAshish Duggal
Push Down Automata (PDA) is part of TOC (Theory of Computation)
From this presentation you will get all the information related to PDA also it will help you to easily understand this topic. There is also one example.
This PPT is very helpful for Computer science and Computer Engineer
(B.C.A., M.C.A., B.TECH. , M.TECH.)
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The purpose of making this presentation is to explain Kruskal's Algorithm in a simple and attractive way. However, the content of this presentation is taken from more than one resources and merged at one place for the better understanding of students. It also contains an example which will definitely help students to understand it more quickly.
Finite Automata(FA) is the simplest machine to recognize patterns. The finite automata or finite state machine is an abstract machine that has five elements or tuples. It has a set of states and rules for moving from one state to another but it depends upon the applied input symbol. Basically, it is an abstract model of a digital computer.
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4. Finite State Automata (FSA)
• There are two main kinds of FSA:-
– Non-Deterministic Finite Automata (NFA): at a
particular state, a unique path may not be determined for
each input alphabet.
– Deterministic Finite Automata (DFA): at a particular
state, a unique path determined for each input alphabet.
5. Finite State Automata (FSA)
• For every non-deterministic automata, there is an
equivalent deterministic automata.
• The below NFA is equivalent to the regular
expression/ab*ca?/.
6. NFA
• In a NFA, for each state there can be zero, one,
two, or more transitions corresponding to a
particular symbol.
• For a particular input symbol, the machine can move
to any combination of the states in the machine.
Hence, it is called NFA.
• Only NFA state automaton can have an ε transition.
• The procedure is like: RE → NFA → DFA → Tables
7. NFA
An NFA can be represented by a 5-tuple (Q, Σ, δ, q0,
F) where:−
• Q is a finite set of states.
• Σ is a finite set of symbols called the alphabets.
• δ is the transition function where δ: Q × Σ → 2Q
• q0 is the initial state & F is the final state
(Here the power set of Q (2Q) has been taken because in
case of NFA, from a state, transition can occur to any
combination of Q states)
8. NFA – State Digrams
• Represented by digraphs called state diagram:
used to graphically represent finite state machines
to give an abstract description of the behavior of a
system.
11. DFA
• In DFA, for each input symbol, one can determine
the state to which the machine will move. Hence, it
is called Deterministic Automaton.
• As it has a finite number of states, the machine is
called Deterministic Finite Machine.
• Q is a finite set of states.
• Σ is a finite set of symbols called the alphabet.
• δ is the transition function where δ: Q × Σ → Q
12. NFA vs DFA
• In NFA each pair of state
and input symbol can
have many possible next
states.
• NFA can use empty string
transition.
• NFA is easier to construct.
• NFA requires less space.
• In DFA the next possible
state is distinctly set.
• DFA cannot use empty
string transition.
• It is more difficult to
construct DFA.
• DFA requires more space.