enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. 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 ...

  3. Boyer–Moore majority vote algorithm - Wikipedia

    en.wikipedia.org/wiki/Boyer–Moore_majority_vote...

    The amount of memory that the algorithm needs is the space for one element and one counter. In the random access model of computing usually used for the analysis of algorithms, each of these values can be stored in a machine word and the total space needed is O(1).

  4. Branch and bound - Wikipedia

    en.wikipedia.org/wiki/Branch_and_bound

    B will denote the best solution found so far, and will be used as an upper bound on candidate solutions. Initialize a queue to hold a partial solution with none of the variables of the problem assigned. Loop until the queue is empty: Take a node N off the queue. If N represents a single candidate solution x and f(x) < B, then x is the best ...

  5. Set cover problem - Wikipedia

    en.wikipedia.org/wiki/Set_cover_problem

    If each element occurs in at most f sets, then a solution can be found in polynomial time that approximates the optimum to within a factor of f using LP relaxation. If the constraint x S ∈ { 0 , 1 } {\displaystyle x_{S}\in \{0,1\}} is replaced by x S ≥ 0 {\displaystyle x_{S}\geq 0} for all S in S {\displaystyle {\mathcal {S}}} in the ...

  6. Coupon collector's problem - Wikipedia

    en.wikipedia.org/wiki/Coupon_collector's_problem

    Graph of number of coupons, n vs the expected number of trials (i.e., time) needed to collect them all E (T ) In probability theory, the coupon collector's problem refers to mathematical analysis of "collect all coupons and win" contests.

  7. Greedy algorithm - Wikipedia

    en.wikipedia.org/wiki/Greedy_algorithm

    Greedy algorithms fail to produce the optimal solution for many other problems and may even produce the unique worst possible solution. One example is the travelling salesman problem mentioned above: for each number of cities, there is an assignment of distances between the cities for which the nearest-neighbour heuristic produces the unique ...

  8. Euclidean algorithm - Wikipedia

    en.wikipedia.org/wiki/Euclidean_algorithm

    To find the latter, consider two solutions, (x 1, y 1) and (x 2, y 2), where ax 1 + by 1 = c = ax 2 + by 2. or equivalently a(x 1 − x 2) = b(y 2 − y 1). Therefore, the smallest difference between two x solutions is b/g, whereas the smallest difference between two y solutions is a/g. Thus, the solutions may be expressed as x = x 1 − bu/g y ...

  9. International Olympiad in Informatics - Wikipedia

    en.wikipedia.org/wiki/International_Olympiad_in...

    The scores from the two competition days and all problems are summed up separately for each contestant. Medals are awarded depending on their relative total score. The top 50% of the contestants are awarded medals, such that the relative number of gold : silver : bronze : no medal is approximately 1:2:3:6 (thus 1/12 of the contestants get a ...