C++ Standard Template Library in Practice - Randomizing

The video tutorial explores the concept of random numbers, focusing on pseudorandom number generators (RNGs) and their applications. It explains how computers use complex algorithms to generate random-looking sequences and the importance of seeding these algorithms with unpredictable values. The tutorial introduces the shuffle algorithm provided by the Standard Template Library (STL) and demonstrates its use with a practical example. It also discusses the role of entropy in generating randomness and the use of random devices in different systems. The video concludes with a demonstration of the shuffle algorithm using a vector of numbers.

How does the randomness of a sequence generated by an RNG relate to its predictability?

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What role does entropy play in generating random numbers?

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Why is it useful to have a consistent seed for debugging purposes?

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