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Continuous optimization

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This is an old revision of this page, as edited by Loraof (talk | contribs) at 14:02, 27 April 2015 (Clarification (discrete variables can also assume real values)). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.


Continuous optimization is a branch of optimization in applied mathematics.

As opposed to discrete optimization, the variables used in the objective function are to be chosen from a set of real values that can be arbitrarily close together, e.g., values from intervals of the real line.


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