## What is theory of computation with example?

Theory of computation (TOC) is a branch of Computer Science that is concerned with how problems can be solved using algorithms and how efficiently they can be solved. Real-world computers perform computations that by nature run like mathematical models to solve problems in systematic ways.

**Where is theory of computation used in real life?**

Automated Theory and language

Finite Automata − These are used in compilers, hardware design and text processing. Context free grammar − These are used to define the programming languages and in artificial intelligence.

### What is theory of computation in simple words?

In theoretical computer science and mathematics, the theory of computation is the branch that deals with what problems can be solved on a model of computation, using an algorithm, how efficiently they can be solved or to what degree (e.g., approximate solutions versus precise ones).

**What is DFA explain with an example?**

DFA refers to deterministic finite automata. Deterministic refers to the uniqueness of the computation. The finite automata are deterministic FA, if the machine reads an input string one symbol at a time. In DFA, there is only one path input from the current state to the next state.

#### What are the 3 branches of the theory of computation?

In theoretical computer science, the theory of computation is the branch that deals with whether and how efficiently problems can be solved on a model of computation, using an algorithm. The field is divided into three major branches: automata theory, computability theory and computational complexity theory.

**What are the main topics of the theory of computation?**

Nowadays, the Theory of Computation can be divided into the following three areas: Complexity Theory, Computability Theory, and Automata Theory .

## What is NFA and DFA with Example?

DFA stands for Deterministic Finite Automata. NFA stands for Nondeterministic Finite Automata. For each symbolic representation of the alphabet, there is only one state transition in DFA. No need to specify how does the NFA react according to some symbol. DFA cannot use Empty String transition.

**What are the 5 tuples of DFA?**

DFA consists of 5 tuples {Q, Σ, q, F, δ}.

### Why is it important to study theory of computation?

Theory of Computation is very important as it helps in writing efficient algorithms that operate on computer devices, research and development of programming languages and in compiler design and construction that is efficient.

**Is theory of computation tough?**

TOC is bit like maths. Remember when we first started with maths it was difficult to even add two numbers, now by practice some of us do calculation without using calculator. Same is the case with TOC once you see enough problem u start identifying problems in categories.

#### Why DFA is faster than NFA?

DFA will be fast compared to NFA, since it has only one outgoing edge & there will be no ambiguity. But in case of NFA we have to check all possible cases & that surely takes time.

**Which is better NFA or DFA?**

NFA is easier to construct. DFA is understood as one machine. NFA is understood as multiple small machines computing at the same time.

## Why is DFA called deterministic?

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 or Deterministic Finite Automaton.

**Why do we use DFA?**

In DFA, there is only one path for specific input from the current state to the next state. DFA does not accept the null move, i.e., the DFA cannot change state without any input character. DFA can contain multiple final states. It is used in Lexical Analysis in Compiler.

### What is the application of TOC?

TOC analyzers are used in diverse fields, including the management of tap water, effluent, and ultrapure water, management of pharmaceutical water used in drug manufacturing processes, evaluation of cleaning efficiency (cleaning validation), and environmental investigations of river water and soils, for example.

**Which is hardest specialization in CSE?**

Hardest Computer Science Classes

- Data Structures and Algorithms.
- Discrete Mathematics.
- Operating Systems.
- Automata Theory.
- Calculus.

#### Can DFA have dead state?

Note: Dead state may be required in DFA. Dead state is not required in NFA.

**What are the applications of DFA?**

DFA uses include protocol analysis, text parsing, video game character behavior, security analysis, CPU control units, natural language processing, and speech recognition.

## Can a DFA have no states?

Yes Possible. If an automata is not acceptor but transducer then final state is not needed. Any class of an automata can be without a final state!

**What is application of DFA?**

### Which is most powerful machine in theory of computation?

The Turing machine is the most powerful computation model when compared with FA and PDA. Q represents the finite, non-empty set of states. X represents the set of tape alphabets. ∑ represents the non-empty set of input alphabets.

**Which is the easiest branch in CSE?**

There is no such easy specialization in CSE.

…

Which is the easiest specialization in CSE branch in B. Tech

- Human computer interaction.
- Internet of things.
- Bioinformtics.
- Software engineering.
- Artificial Intelligence.
- Mobile and internet computing.
- Data science.
- Cloud computing.

#### What is the highest paid field in computer science?

Highest-Paying Jobs for MS in CS Graduates

- Security Engineer.
- DevOps Engineer.
- Computer Scientist.
- Mobile Application Developer.
- Android Software Developer/Engineer.
- Software Development Engineer (SDE)
- Senior Software Web Developer.
- Software Development Engineer, Test (SDET) Average Annual Salary: $83,070.

**What is dummy state in DFA?**

Dummy state means that machine will not generate any string. 3. Every string that is part of the language should be accepted by the FSA and every string that is not part of the language should be rejected by the FSA. 4.

## What are the advantages of DFA?

Advantages and disadvantages

DFAs are one of the most practical models of computation, since there is a trivial linear time, constant-space, online algorithm to simulate a DFA on a stream of input. Also, there are efficient algorithms to find a DFA recognizing: the complement of the language recognized by a given DFA.