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Talk:Algorithmic efficiency

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This is an old revision of this page, as edited by MikeDunlavey (talk | contribs) at 19:20, 29 May 2007 (Optimality assumption). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

Better title needed. The word "efficient" is a common one used in many different contexts. --mav

What about 'efficient' and 'effective' The german wikipedia makes a distinction between both. If there is such a distinction in english (I do not know, I am no native speaker) then you should probably mention it.

efficiency/effectiveness

moved this from the article:

The term "efficient" is very much confused and misused with the term "effective", though a scientific impact takes place. Efficiency is a measureable, quantitative concept, given by the equation: Efficiency = Output/Input (which is same as the concept productivity); or alternatively Efficiency = Output/Predetermined expectation. Whereas Effectiveness is a vague, almost non-quantitative concept, mainly concerned with achieving objectives. --212.72.25.10 08:01, 17 November 2005 (UTC)"[reply]

perhaps created because of the redirect from effective? I'm changing the redirect to point to effectiveness which already exists. --naught101 06:47, 18 November 2005 (UTC)[reply]

Improvement Drive

Time management is currently a candidate on WP:IDRIVE. Support it with your vote if you want to see this article improved to featured status.--Fenice 07:51, 5 January 2006 (UTC)[reply]

Optimality assumption

A common assumption is that there is always a tradeoff between time and space in an algorithm, but that is only true if it is actually on the optimal curve of time vs space. It is quite possible (and common) for any given algorithm to be quite non-optimal, in which case both its time and space consumption can be reduced, bringing it closer to the optimal curve. MikeDunlavey 19:20, 29 May 2007 (UTC)[reply]