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  2. Birthday problem - Wikipedia

    en.wikipedia.org/wiki/Birthday_problem

    This variation of the birthday problem is interesting because there is not a unique solution for the total number of people m + n. For example, the usual 50% probability value is realized for both a 32-member group of 16 men and 16 women and a 49-member group of 43 women and 6 men.

  3. Equihash - Wikipedia

    en.wikipedia.org/wiki/Equihash

    The problem in Equihash is to find distinct, -bit values ,,..., to satisfy () ()... = such that (...) has leading zeros, where is a chosen hash function. [1] In addition, there are "algorithm binding conditions" which are intended to reduce the risk of other algorithms developed to solve the underlying birthday problem being applicable.

  4. Wikipedia:Reference desk/Science/Birthday probability ...

    en.wikipedia.org/.../Birthday_probability_question

    A naive application of the even-odd rule gives (,) = = () ()where P(m,n) is the probability of m people having all of n possible birthdays. At least for P(4,7) this formula gives the same answer as above, 525/1024 = 8400/16384, so I'm fairly confident it's right.

  5. Birthday attack - Wikipedia

    en.wikipedia.org/wiki/Birthday_attack

    The birthday attack can be modeled as a variation of the balls and bins problem. In this problem: Balls represent inputs to the hash function. Bins represent possible outputs of the hash function (hash values). A collision occurs when two or more balls land in the same bin (i.e., two inputs produce the same hash output).

  6. Hash collision - Wikipedia

    en.wikipedia.org/wiki/Hash_collision

    Another reason hash collisions are likely at some point in time stems from the idea of the birthday paradox in mathematics. This problem looks at the probability of a set of two randomly chosen people having the same birthday out of n number of people. [5] This idea has led to what has been called the birthday attack.

  7. Simon's problem - Wikipedia

    en.wikipedia.org/wiki/Simon's_problem

    The problem is set in the model of decision tree complexity or query complexity and was conceived by Daniel R. Simon in 1994. [2] Simon exhibited a quantum algorithm that solves Simon's problem exponentially faster with exponentially fewer queries than the best probabilistic (or deterministic) classical algorithm. In particular, Simon's ...

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    mail.aol.com

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  9. Easy Java Simulations - Wikipedia

    en.wikipedia.org/wiki/Easy_Java_Simulations

    The generated Java or JavaScript code can, in terms of efficiency and sophistication, be taken as the creation of a professional programmer. EJSS is written in the Java programming language and the created simulations are in Java or JavaScript. Java Virtual Machines (JVM) are available for many different platforms; a platform for which a JVM is ...