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  2. Branch and bound - Wikipedia

    en.wikipedia.org/wiki/Branch_and_bound

    The following is the skeleton of a generic branch and bound algorithm for minimizing an arbitrary objective function f. [3] To obtain an actual algorithm from this, one requires a bounding function bound, that computes lower bounds of f on nodes of the search tree, as well as a problem-specific branching rule.

  3. Codeforces - Wikipedia

    en.wikipedia.org/wiki/Codeforces

    Codeforces (Russian: Коудфорсес) is a website that hosts competitive programming contests. [1] It is maintained by a group of competitive programmers from ITMO University led by Mikhail Mirzayanov. [2] Since 2013, Codeforces claims to surpass Topcoder in terms of active contestants. [3] As of 2019, it has over 600,000 registered users ...

  4. Scott Wu - Wikipedia

    en.wikipedia.org/wiki/Scott_Wu

    Codeforces peak rating: 3350 Scott Wu (born 1997) is an American entrepreneur who is co-founder of Cognition AI and Lunchclub . He is also competitive programmer who won three gold medals (placing first in 2014) at the International Olympiad in Informatics (IOI) and came third place in the 2021 Google Code Jam .

  5. Gennady Korotkevich - Wikipedia

    en.wikipedia.org/wiki/Gennady_Korotkevich

    Gennady Korotkevich (Belarusian: Генадзь Караткевіч, Hienadź Karatkievič, Russian: Геннадий Короткевич; born 25 September 1994) is a Belarusian competitive sport programmer who has won major international competitions since the age of 11, as well as numerous national competitions.

  6. 2-satisfiability - Wikipedia

    en.wikipedia.org/wiki/2-satisfiability

    For instance, in the popular nonogram puzzles, also known as paint by numbers or griddlers, the set of squares to be determined represents the dark pixels in a binary image, and the input given to the puzzle solver tells him or her how many consecutive blocks of dark pixels to include in each row or column of the image, and how long each of ...

  7. Reinforcement learning - Wikipedia

    en.wikipedia.org/wiki/Reinforcement_learning

    Reinforcement learning (RL) is an interdisciplinary area of machine learning and optimal control concerned with how an intelligent agent should take actions in a dynamic environment in order to maximize a reward signal.

  8. Limited-memory BFGS - Wikipedia

    en.wikipedia.org/wiki/Limited-memory_BFGS

    Limited-memory BFGS (L-BFGS or LM-BFGS) is an optimization algorithm in the family of quasi-Newton methods that approximates the Broyden–Fletcher–Goldfarb–Shanno algorithm (BFGS) using a limited amount of computer memory. [1]

  9. Automated theorem proving - Wikipedia

    en.wikipedia.org/wiki/Automated_theorem_proving

    Depending on the underlying logic, the problem of deciding the validity of a formula varies from trivial to impossible. For the common case of propositional logic, the problem is decidable but co-NP-complete, and hence only exponential-time algorithms are believed to exist for general proof tasks.