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DatVietVAC (or Dat Viet VAC) is a Vietnamese media, entertainment and technology group. [1] [2] Founded in 1994 by Dinh Ba Thanh, [3] it is described as Vietnam's first and largest media company and launched the first private TV channel in the country. [4]
Mathematical Applications Group, Inc. (a.k.a. MAGi or MAGi/SynthaVision) was an early computer technology company founded in 1966 by Dr. Philip Mittelman and located in Elmsford, New York, where it was evaluating nuclear radiation exposure.
Ứng dụng toán giải tích; Hàm số vòng tròn; Sách toán kỹ sư; Usage on bn.wikipedia.org ব্যাস; ব্যাসার্ধ; Usage on bo.wikipedia.org སྒོར་ཐིག་ Usage on ca.wikipedia.org Circumferència; Usage on ckb.wikipedia.org بازنە (ئەندازە) چەق (ئەندازە) Usage on cs ...
The heapsort algorithm can be divided into two phases: heap construction, and heap extraction. The heap is an implicit data structure which takes no space beyond the array of objects to be sorted; the array is interpreted as a complete binary tree where each array element is a node and each node's parent and child links are defined by simple arithmetic on the array indexes.
Animated example of a breadth-first search. Black: explored, grey: queued to be explored later on BFS on Maze-solving algorithm Top part of Tic-tac-toe game tree. Breadth-first search (BFS) is an algorithm for searching a tree data structure for a node that satisfies a given property.
In logic and computer science, the Davis–Putnam–Logemann–Loveland (DPLL) algorithm is a complete, backtracking-based search algorithm for deciding the satisfiability of propositional logic formulae in conjunctive normal form, i.e. for solving the CNF-SAT problem.
A great advantage of bootstrap is its simplicity. It is a straightforward way to derive estimates of standard errors and confidence intervals for complex estimators of the distribution, such as percentile points, proportions, Odds ratio, and correlation coefficients.
The Bernstein–Vazirani algorithm, which solves the Bernstein–Vazirani problem, is a quantum algorithm invented by Ethan Bernstein and Umesh Vazirani in 1997. [1] It is a restricted version of the Deutsch–Jozsa algorithm where instead of distinguishing between two different classes of functions, it tries to learn a string encoded in a function. [2]