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Divide and rule (Latin: divide et impera), or more commonly known as divide and conquer, in politics refers to an entity gaining and maintaining political power by using divisive measures. This includes the exploitation of existing divisions within a political group by its political opponents, and also the deliberate creation or strengthening ...
Defeat in detail, or divide and conquer, is a military tactic of bringing a large portion of one's own force to bear on small enemy units in sequence, rather than engaging the bulk of the enemy force all at once. This exposes one's own units to many small risks but allows for the eventual destruction of an entire enemy force.
In computer science, divide and conquer is an algorithm design paradigm. A divide-and-conquer algorithm recursively breaks down a problem into two or more sub-problems of the same or related type, until these become simple enough to be solved directly. The solutions to the sub-problems are then combined to give a solution to the original problem.
"Divide and Conquer" (Teen Titans), 2003 "Divide and Conquer" (Teenage Mutant Ninja Turtles episode), 1996 "Divide and Conquer" (Transformers episode), 1984 "Divide and Conquer" (Yu-Gi-Oh! Capsule Monsters episode), 2006 "Divide and Conquer", an episode of Gangland, 2009 "Divide" and "Conquer", two episodes of Star vs. the Forces of Evil, 2018
Pages in category "Divide-and-conquer algorithms" The following 9 pages are in this category, out of 9 total. This list may not reflect recent changes. ...
A similar complex multiplication algorithm multiplies two complex numbers using 3 real multiplications instead of 4; Toom-Cook algorithm, a faster generalization of the Karatsuba algorithm that permits recursive divide-and-conquer decomposition into more than 2 blocks at a time
The closed form follows from the master theorem for divide-and-conquer recurrences. The number of comparisons made by merge sort in the worst case is given by the sorting numbers. These numbers are equal to or slightly smaller than (n ⌈lg n⌉ − 2 ⌈lg n⌉ + 1), which is between (n lg n − n + 1) and (n lg n + n + O(lg n)). [6]
A divide and conquer paradigm to performing a triangulation in d dimensions is presented in "DeWall: A fast divide and conquer Delaunay triangulation algorithm in E d" by P. Cignoni, C. Montani, R. Scopigno. [18] The divide and conquer algorithm has been shown to be the fastest DT generation technique sequentially. [19] [20]