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Showing posts from August 25, 2019

NFA with Epsilon-Transition (ε-NFA) | Epsilon-Closure (ε-Closure) of a state | Extended Transition Function of ε-NFA | Theory Of Computation (TOC)

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NFA with Epsilon( ε) Transition (ε-NFA): The NFA with epsilon-transition is a finite state machine in which the transition from one state to another state is allowed without any input symbol i.e. empty string ε. Adding the transition for the  empty string doesn’t increase the computing power of the finite automata but adds some flexibility to construct then DFA and NFA. This are very helpful when we study regular expression (RE) and prove the equivalence between class of language accepted by RE and finite automata.

Computer Networks | Types of Network according to Physical Span | Advantages and Disadvantages of Computer Networks

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Computer Network According to Tanenbaum , computer network is a collection of ―autonomous‖ computers interconnected by a single technology. It is a collection of computers and other devices interconnected by communication channels that allow sharing of resources and information. The connection can be done as peer-to-peer or client/server.

Non Deterministic Finite Automata | Language of NFA | Extended transition function of NFA | Theory Of Computation (TOC)

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Non Deterministic Finite Automata (NFA): Like the DFA, a NFA has a finite set of states, a finite set of input symbols, one start state, a set of accepting states and transition function (𝛿). The difference between the DFA and the NFA is in the type of 𝛿. For the NFA, 𝛿 is a function that takes a state and input symbol as arguments as like the DFA’s transition function, but returns a set of zero, one or more state (DFA returns exactly one state).