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  2. Birthday problem - Wikipedia

    en.wikipedia.org/wiki/Birthday_problem

    The birthday paradox is a veridical paradox: it seems wrong at first glance but is, in fact, true. While it may seem surprising that only 23 individuals are required to reach a 50% probability of a shared birthday, this result is made more intuitive by considering that the birthday comparisons will be made between every possible pair of ...

  3. Pollard's rho algorithm - Wikipedia

    en.wikipedia.org/wiki/Pollard's_rho_algorithm

    If the pseudorandom number = occurring in the Pollard ρ algorithm were an actual random number, it would follow that success would be achieved half the time, by the birthday paradox in () (/) iterations. It is believed that the same analysis applies as well to the actual rho algorithm, but this is a heuristic claim, and rigorous analysis of ...

  4. Symbolab - Wikipedia

    en.wikipedia.org/wiki/Symbolab

    Symbolab is an answer engine [1] that provides step-by-step solutions to mathematical problems in a range of subjects. [2] It was originally developed by Israeli start-up company EqsQuest Ltd., under whom it was released for public use in 2011. In 2020, the company was acquired by American educational technology website Course Hero. [3] [4]

  5. File:Birthday paradox approximation.svg - Wikipedia

    en.wikipedia.org/wiki/File:Birthday_paradox...

    English: A graph comparing the accuracy of an approximation of the probability that in a room with n people (shown along the horizontal axis), some two (or more) will share a birthday. The black line, represents the computed probability.

  6. File:Birthday paradox probability.svg - Wikipedia

    en.wikipedia.org/wiki/File:Birthday_paradox...

    English: In probability theory, the birthday paradox concerns the probability that, in a set of n randomly chosen people, some pair of them will have the same birthday. By the pigeonhole principle, the probability reaches 100% when the number of people reaches 367 (since there are 366 possible birthdays, including February 29).

  7. Pigeonhole principle - Wikipedia

    en.wikipedia.org/wiki/Pigeonhole_principle

    The birthday problem asks, for a set of n randomly chosen people, what is the probability that some pair of them will have the same birthday? The problem itself is mainly concerned with counterintuitive probabilities, but we can also tell by the pigeonhole principle that among 367 people, there is at least one pair of people who share the same ...

  8. File:Birthdaymatch.svg - Wikipedia

    en.wikipedia.org/wiki/File:Birthdaymatch.svg

    English: In probability theory, the birthday problem or birthday paradox concerns the probability that, in a set of n randomly chosen people, some pair of them will have the same birthday. By the pigeonhole principle , the probability reaches 100% when the number of people reaches 367 (since there are 366 possible birthdays, including February 29).

  9. Birthday attack - Wikipedia

    en.wikipedia.org/wiki/Birthday_attack

    A birthday attack is a bruteforce collision attack that exploits the mathematics behind the birthday problem in probability theory. This attack can be used to abuse communication between two or more parties. The attack depends on the higher likelihood of collisions found between random attack attempts and a fixed degree of permutations ...