Introduction to Theory of Computation
Theory of computation is a part of theoretical Computer Science.
The theory of computation basically deals with designing the machine through a conceptual model. Whenever we face any challenges in real-time we are looking for some solutions either in the form of hardware or software. For the solution, we do some computation and follow proper algorithms.
Theory of computation is the study of how problems can be solved using algorithms based on logic. When we first think of logic then we create a model, with the help of a model we write an algorithm and then we code a program through which we develop software or any machine.
TOC builds a strong foundation for abstract area areas in computer science. It gives you the answer to “How does a computer is made to think?”
These are some very basic examples of a computer making a decision (whether to accept a string or not.) There is a great deal of work that was made possible in the area of Natural
Language Processing involved building Finite State Automata.
- State machines are used in certain areas of Number Theory.
- Regular expressions can be expressed using Finite Automata.
- Automata tells you whether a problem is solvable or not.
The two main aspects in the process of computation basically deals with: time complexity and space complexity. Time complexity signifies how many steps does it take to perform a computation, and space complexity signifies how much memory is needed to carry out that computation.
In the study of TOC we start with understanding of basics related to string, language, alphabets, symbols, then we learn how to construct deterministic finite automata, non-deterministic finite automata, Regular expression, context-free grammar, context-free language, Push down automata, Turning machines, etc.
What do you gain by studying TOC?
- Grades in University examination.
- Good problem-solving skills.
- Behind the logic of any compiler.
- Respect, as it is very tough to digest and one of the toughest subjects in computer science.
- Knowledge of computer languages and grammar.
- Knowledge of what is going on underneath the programming language.
- So many things, as this package comes up full of stars.
