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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.
This is a divide and conquer algorithm with run-time of () [dubious – discuss], where n is the number of polygons and p is the number of pixels in the viewport. The inputs are a list of polygons and a viewport. The best case is that if the list of polygons is simple, then draw the polygons in the viewport.
Similar to divide and conquer; Denial – A strategy that seeks to destroy the enemy's ability to wage war; Distraction – An attack by some of the force on one or two flanks, drawing up to a strong frontal attack by the rest of the force; Encirclement – Both a strategy and tactic designed to isolate and surround enemy forces
Download as PDF; Printable version; In other projects ... Pages in category "Divide-and-conquer algorithms" The following 9 pages are in this category, out of 9 total ...
The Akra–Bazzi method is more useful than most other techniques for determining asymptotic behavior because it covers such a wide variety of cases. Its primary application is the approximation of the running time of many divide-and-conquer algorithms.
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.
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It is a specific type of divide and conquer algorithm. A well-known example is binary search. [3] Abstractly, a dichotomic search can be viewed as following edges of an implicit binary tree structure until it reaches a leaf (a goal or final state).