45 Lecture
CS402
Midterm & Final Term Short Notes
Turing machine
A Turing machine is a theoretical computing machine that can simulate any computer algorithm, given enough time and memory. It consists of a tape, which can be infinite in length, divided into cells that can hold a symbol. The machine has a read
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What is a Turing machine? a) A type of computer hardware b) A theoretical computing machine c) A programming language d) An operating system Answer: b Who invented the Turing machine? a) Bill Gates b) Steve Jobs c) Alan Turing d) Charles Babbage Answer: c What is the tape in a Turing machine? a) A storage device b) A memory unit c) A type of input device d) A linear sequence of cells that can hold symbols Answer: d What is the read/write head in a Turing machine? a) A sensor that reads data from the tape b) A laser that writes data onto the tape c) A mechanical arm that moves the tape d) A device that can read or write symbols on the tape Answer: d What is the finite control in a Turing machine? a) A software program that controls the machine b) A device that limits the amount of time the machine can run c) A set of rules that determine the next action based on the current state and input symbol d) A mechanism that prevents the machine from overheating Answer: c What are the actions that a Turing machine can take? a) Moving the read/write head, writing a symbol, or changing the state b) Running a program, opening a file, or sending an email c) Printing a document, copying a file, or deleting a folder d) None of the above Answer: a Can a Turing machine solve any problem that can be solved algorithmically? a) Yes b) No Answer: a Are there any problems that cannot be solved by a Turing machine? a) Yes b) No Answer: a What is the significance of the halting problem in the context of Turing machines? a) It demonstrates the limitations of computing machines b) It is an example of an algorithm that cannot be solved by a Turing machine c) It is a problem that Turing machines can solve easily d) None of the above Answer: a What is the Church-Turing thesis? a) It states that all problems that can be solved algorithmically can be solved by a Turing machine b) It is a theorem that proves the existence of Turing machines c) It is a programming language designed for Turing machines d) None of the above Answer: a
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What is the purpose of a Turing machine? Answer: The purpose of a Turing machine is to simulate any computer algorithm given enough time and memory. What is the tape in a Turing machine? Answer: The tape is a linear sequence of cells that can hold symbols. It can be infinite in length and is used to store input data and intermediate results. What is the read/write head in a Turing machine? Answer: The read/write head is a device that can move along the tape and read or write symbols. What is the finite control in a Turing machine? Answer: The finite control is a set of rules that determines the next action based on the current state and the symbol being read. Can a Turing machine solve any problem that can be solved algorithmically? Answer: Yes, a Turing machine can solve any problem that can be solved algorithmically. Are there any problems that cannot be solved by a Turing machine? Answer: Yes, there are problems that cannot be solved by a Turing machine. An example is the halting problem. What is the significance of the halting problem in the context of Turing machines? Answer: The halting problem demonstrates the limitations of computing machines and shows that there are some problems that cannot be solved algorithmically. What is the Church-Turing thesis? Answer: The Church-Turing thesis states that any problem that can be solved algorithmically can be solved by a Turing machine. What is the difference between a deterministic and non-deterministic Turing machine? Answer: A deterministic Turing machine always produces the same output for a given input, while a non-deterministic Turing machine may have multiple possible outputs for a given input. What is the time complexity of a Turing machine? Answer: The time complexity of a Turing machine is the number of steps it takes to solve a problem, and it is used to analyze the efficiency of algorithms.