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  2. Randomized algorithm - Wikipedia

    en.wikipedia.org/wiki/Randomized_algorithm

    A randomized algorithm is an algorithm that employs a degree of randomness as part of its logic or procedure. The algorithm typically uses uniformly random bits as an auxiliary input to guide its behavior, in the hope of achieving good performance in the "average case" over all possible choices of random determined by the random bits; thus either the running time, or the output (or both) are ...

  3. Yao's principle - Wikipedia

    en.wikipedia.org/wiki/Yao's_principle

    Here, a Las Vegas algorithm is a randomized algorithm whose runtime may vary, but for which the result is always correct. [7] [8] For example, this form of Yao's principle has been used to prove the optimality of certain Monte Carlo tree search algorithms for the exact evaluation of game trees. [8]

  4. Category:Randomized algorithms - Wikipedia

    en.wikipedia.org/wiki/Category:Randomized_algorithms

    Pages in category "Randomized algorithms" The following 44 pages are in this category, out of 44 total. This list may not reflect recent changes. ...

  5. Principle of deferred decision - Wikipedia

    en.wikipedia.org/wiki/Principle_of_deferred_decision

    A randomized algorithm makes a set of random choices. These random choices may be intricately related making it difficult to analyze it. In many of these cases Principle of Deferred Decisions is used. The idea behind the principle is that the entire set of random choices are not made in advance, but rather fixed only as they are revealed to the ...

  6. Monte Carlo algorithm - Wikipedia

    en.wikipedia.org/wiki/Monte_carlo_algorithm

    In computing, a Monte Carlo algorithm is a randomized algorithm whose output may be incorrect with a certain (typically small) probability. Two examples of such algorithms are the Karger–Stein algorithm [ 1 ] and the Monte Carlo algorithm for minimum feedback arc set .

  7. Random optimization - Wikipedia

    en.wikipedia.org/wiki/Random_optimization

    The basic RO algorithm can then be described as: Initialize x with a random position in the search-space. Until a termination criterion is met (e.g. number of iterations performed, or adequate fitness reached), repeat the following: Sample a new position y by adding a normally distributed random vector to the current position x

  8. Analysis of Alternatives - Wikipedia

    en.wikipedia.org/wiki/Analysis_of_Alternatives

    The AoA is designed to examine a broad spectrum of potential alternatives to the mission need described in the Mission Needs Statement. The key purpose of the AoA is to identify a "solution" that will fulfill the stated requirements as optimally as possible commensurate with established cost and schedule constraints, at the lowest practicable risk.

  9. With high probability - Wikipedia

    en.wikipedia.org/wiki/With_high_probability

    Freivalds' algorithm: a randomized algorithm for verifying matrix multiplication. It runs faster than deterministic algorithms WHP. Treap: a randomized binary search tree. Its height is logarithmic WHP. Fusion tree is a related data structure. Online codes: randomized codes which allow the user to recover the original message WHP.