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In theoretical computer science and mathematics , the theory of computation is the branch that deals with 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. In order to perform a rigorous study of computation, computer scientists work with a mathematical abstraction of computers called a model of computation. There are several models in use such as Lambda calculus, Combinatory logic, mu-recursive functions , but the most commonly examined is the Turing machine. Computer scientists study the Turing machine because it is simple to formulate, can be analyzed and used to prove results, and because it represents what many consider the most powerful possible "reasonable" model of computation . It might seem that the potentially infinite memory capacity is an unrealizable attribute, but any decidable problem solved by a Turing machine will always require only a finite amount of memory. So in principle, any problem that can be solved (decided) by a Turing machine can be solved by a computer that has a bounded amount of memory.
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Turing machine
1.
Turing Machine
2.
Variations of
Turing machine
3.
4.
Universal Turing
machine
5.
Power of
PDA Power of TM
6.
Comparison between
FA, PDA, TM Application of each Machine
7.
Halting problem
8.
9.
10.
Short note
on TCS
11.
Application of
TCS Amplification of RE and Finite automata Amplification Context Free Grammar
12.
Greibach Theorem
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