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  2. Monty Hall problem - Wikipedia

    en.wikipedia.org/wiki/Monty_Hall_problem

    If the car is behind door 1, the host can open either door 2 or door 3, so the probability that the car is behind door 1 and the host opens door 3 is ⁠ 1 / 3 ⁠ × ⁠ 1 / 2 ⁠ = ⁠ 1 / 6 ⁠. If the car is behind door 2 – with the player having picked door 1 – the host must open door 3, such the probability that the car is behind door ...

  3. Trapdoor function - Wikipedia

    en.wikipedia.org/wiki/Trapdoor_function

    A trapdoor function is a collection of one-way functions { f k : D k → R k} (k ∈ K), in which all of K, D k, R k are subsets of binary strings {0, 1} *, satisfying the following conditions: There exists a probabilistic polynomial time (PPT) sampling algorithm Gen s.t. Gen(1 n ) = ( k , t k ) with k ∈ K ∩ {0, 1} n and t k ∈ {0, 1 ...

  4. Talk:Monty Hall problem/Archive 35 - Wikipedia

    en.wikipedia.org/wiki/Talk:Monty_Hall_problem/...

    Then, the chance that door 3 is nudged open (and only door 3) is 1/10 when the car is behind door 2, and 1/10 times 9/10 when the car is behind door 1 (9/10 for the chance the other goat didn't nudge door 2 open, "times" for my assumption of independence).

  5. DOORS - Wikipedia

    en.wikipedia.org/wiki/Rational_DOORS

    IBM Engineering Requirements Management DOORS (Dynamic Object Oriented Requirements System) (formerly Telelogic DOORS, then Rational DOORS) is a requirements management tool. [4] It is a client–server application, with a Windows-only client and servers for Linux, Windows, and Solaris. There is also a web client, DOORS Web Access.

  6. Rolling code - Wikipedia

    en.wikipedia.org/wiki/Rolling_code

    32 bits are encrypted (the rolling code): 4 bits of button information, 2 bits of OVR (used to extend counter value), 10 bits of DISC (discrimination value; often the low 10 bits of the serial number), and a 16-bit counter. [1] [2] In a resyncing situation, the encrypted 32 bits are replaced with a 32-bit seed value.