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  2. Pohlig–Hellman algorithm - Wikipedia

    en.wikipedia.org/wiki/Pohlig–Hellman_algorithm

    Steps of the Pohlig–Hellman algorithm. In group theory, the Pohlig–Hellman algorithm, sometimes credited as the Silver–Pohlig–Hellman algorithm, [1] is a special-purpose algorithm for computing discrete logarithms in a finite abelian group whose order is a smooth integer. The algorithm was introduced by Roland Silver, but first ...

  3. Discrete logarithm - Wikipedia

    en.wikipedia.org/wiki/Discrete_logarithm

    Discrete logarithm. In mathematics, for given real numbers a and b, the logarithm log b a is a number x such that bx = a. Analogously, in any group G, powers bk can be defined for all integers k, and the discrete logarithm log b a is an integer k such that bk = a. In number theory, the more commonly used term is index: we can write x = ind r a ...

  4. Logarithm - Wikipedia

    en.wikipedia.org/wiki/Logarithm

    In mathematics, the logarithm to base b is the inverse function of exponentiation with base b. That means that the logarithm of a number x to the base b is the exponent to which b must be raised to produce x. For example, since 1000 = 10 3, the logarithm base of 1000 is 3, or log 10 (1000) = 3.

  5. Binary search - Wikipedia

    en.wikipedia.org/wiki/Binary_search

    Binary search Visualization of the binary search algorithm where 7 is the target value Class Search algorithm Data structure Array Worst-case performance O (log n) Best-case performance O (1) Average performance O (log n) Worst-case space complexity O (1) Optimal Yes In computer science, binary search, also known as half-interval search, logarithmic search, or binary chop, is a search ...

  6. Time complexity - Wikipedia

    en.wikipedia.org/wiki/Time_complexity

    An algorithm that must access all elements of its input cannot take logarithmic time, as the time taken for reading an input of size n is of the order of n. An example of logarithmic time is given by dictionary search. Consider a dictionary D which contains n entries, sorted in alphabetical order.

  7. Find first set - Wikipedia

    en.wikipedia.org/wiki/Find_first_set

    Find first set. In computer software and hardware, find first set (ffs) or find first one is a bit operation that, given an unsigned machine word, [ nb 1 ] designates the index or position of the least significant bit set to one in the word counting from the least significant bit position. A nearly equivalent operation is count trailing zeros ...

  8. Risch algorithm - Wikipedia

    en.wikipedia.org/wiki/Risch_Algorithm

    [example needed] The complete description of the Risch algorithm takes over 100 pages. [1] The Risch–Norman algorithm is a simpler, faster, but less powerful variant that was developed in 1976 by Arthur Norman. Some significant progress has been made in computing the logarithmic part of a mixed transcendental-algebraic integral by Brian L ...

  9. Shor's algorithm - Wikipedia

    en.wikipedia.org/wiki/Shor's_algorithm

    Shor proposed multiple similar algorithms for solving the factoring problem, the discrete logarithm problem, and the period-finding problem. "Shor's algorithm" usually refers to the factoring algorithm, but may refer to any of the three algorithms. The discrete logarithm algorithm and the factoring algorithm are instances of the period-finding ...