Decidable vs. Undecidable Problems in Computation 🚀 | Complete Guide to Theory of Computation

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Decidable and undecidable problems are concepts in computer science and computation theory. Decidable problems have an algorithm that determines whether an input instance is valid, like the Sieve of Eratosthenes. Undecidable problems, on the other hand, have no algorithm that can always determine if an input instance belongs to the set of valid solutions. The concept of undecidability was introduced by Alan Turing in the 1930s and is fundamental to theoretical computer science, particularly in computability theory. These concepts highlight the limits of algorithmic computation and the boundaries of computation.

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