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pseudorandom    
n. 假散乱

假散乱


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  • Pseudorandomness - Wikipedia
    A pseudorandom sequence of numbers is one that appears to be statistically random, despite having been produced by a completely deterministic and repeatable process [1]
  • Pseudorandomness
    Our treatment places particular emphasis on the intimate connections that have been discovered between a variety of fundamental "pseudorandom objects" that at first seem very different in nature: expander graphs, randomness extractors, list-decodable error-correcting codes, samplers, and pseudorandom generators
  • PSEUDORANDOM Definition Meaning - Merriam-Webster
    The meaning of PSEUDORANDOM is being or involving entities (such as numbers) that are selected by a definite computational process but that satisfy one or more standard tests for statistical randomness
  • Pseudorandom - Glossary | CSRC
    A process (or data produced by a process) is said to be pseudorandom when the outcome is deterministic, yet also effectively random, as long as the internal action of the process is hidden from observation
  • Pseudo Random Number Generator (PRNG) - GeeksforGeeks
    Pseudo Random Number Generator (PRNG) refers to an algorithm that uses mathematical formulas to produce sequences of random numbers PRNGs generate a sequence of numbers approximating the properties of random numbers A PRNG starts from an arbitrary starting state using a seed state Many numbers are generated in a short time and can also be reproduced later, if the starting point in the
  • Pseudo-Random Number - an overview | ScienceDirect Topics
    Pseudorandom numbers are defined as numbers generated by a deterministic algorithm that, while they may appear random, are not genuinely random because they can be reproduced and are produced from a defined process
  • Pseudo Random Number Generator - Get Random Generator
    This pseudo-random number generator (PRNG) uses seeds to create reproducible sequences of random numbers, perfect for testing, simulations, and scenarios requiring consistent randomness
  • random — Generate pseudo-random numbers — Python 3. 14. 3 documentation
    M Matsumoto and T Nishimura, “Mersenne Twister: A 623-dimensionally equidistributed uniform pseudorandom number generator”, ACM Transactions on Modeling and Computer Simulation Vol 8, No 1, January pp 3–30 1998
  • Pseudorandomness - Simons Institute for the Theory of Computing
    These different research communities have developed, independently, different concepts of pseudorandomness, and different technical approaches to proving that specific objects are pseudorandom





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