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Introduction to Turing Machine Video Lecture | Question Bank for GATE Computer Science Engineering - Computer Science Engineering (CSE)
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FAQs on Introduction to Turing Machine Video Lecture - Question Bank for GATE Computer Science Engineering - Computer Science Engineering (CSE)
| 1. What is a Turing Machine in computer science engineering? |  |
Ans. A Turing Machine is a theoretical computing device that consists of an infinitely long tape divided into cells, a read/write head, and a set of states. It was proposed by Alan Turing in 1936 as a mathematical model for computation and is capable of simulating any algorithmic computation.
| 2. How does a Turing Machine work? | |
Ans. A Turing Machine works by moving its read/write head back and forth on the tape, reading the symbol in the current cell and based on that symbol and the current state, it performs certain actions such as writing a new symbol, moving the head left or right, or changing its state. This process continues until the machine reaches a halting state.
| 3. What is the role of a Turing Machine in computer science engineering? | |
Ans. The role of a Turing Machine in computer science engineering is to serve as a theoretical foundation for studying the limits and possibilities of computation. It helps computer scientists understand the concept of computability, complexity theory, and the design and analysis of algorithms.
| 4. Can a Turing Machine solve all computational problems? | |
Ans. Yes, a Turing Machine can solve all computational problems that are solvable. It is a universal computing device, meaning it can simulate any algorithmic computation. However, it may not always be the most efficient or practical method to solve certain problems due to its theoretical nature.
| 5. What are the limitations of a Turing Machine? | |
Ans. While a Turing Machine can solve all computational problems, it has certain limitations. It assumes infinite memory and infinite time, which are not practical in real-world computing. Additionally, there are problems, such as the halting problem, that are undecidable by a Turing Machine, meaning there is no algorithm that can solve them for all inputs.
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