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algorithm |
Also found in: Encyclopedia, Wikipedia, Hutchinson | 0.06 sec. |
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algorithm /al·go·rithm/ (al´go-rith'm) 1. a step-by-step method of solving a problem or making decisions, as in making a diagnosis. 2. an established mechanical procedure for solving certain mathematical problems.
algorithm [al′gərith′əm] 1 a step-by-step procedure for the solution to a problem by a computer, using specific mathematic or logical operations. Compare heuristic. 2 an explicit protocol with well-defined rules to be followed in solving a health care problem. algorithm, n an explicit protocol with well-defined rules to be followed in solving a complex problem. algorithm a set of rules designed to solve a specific problem by proceeding through a series of prearranged, logical steps. Originally referred to purely mathematical problems, now used in a wider sphere, e.g. to solve diagnostic problems. Often depicted in the form of a box and line diagram which sets out the logic of the procedure or program. diagnostic algorithm mapping of the logical steps to be taken in eliminating potential diagnoses which do not match clinical signs or pathological findings and arranging possible diagnoses in order of probability. algorithm Decision-making A logical set of rules for solving a specific problem, which assumes that all of the data is objective, that there are a finite number of solutions to the problem, and that there are logical steps that must be
performed to arrive at each of those solutions NIHspeak A step-by-step procedure for solving a problem; a formula. See Back-propagation, Critical pathway, Genetic algorithm, Risk of ovarian cancer algorithm. How to thank TFD for its existence? Tell a friend about us, add a link to this page, add the site to iGoogle, or visit webmaster's page for free fun content. |
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Experts say tagging is about tapping the collective human wisdom rather than relying on a computer algorithm for search. Experts have shown that the computer algorithm used to generate the graph would produce similar results from any series of random numbers. Over the past few decades, computer scientists have designed computer algorithms that produce a good approximation of true randomness. |
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