Nonlinear programming: Difference between revisions

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In [[mathematics]], '''nonlinear programming''' ('''NLP''') is the process of minimization or maximization of a function of a set of real variables (termed ''objective function''), while simultaneously satisfying a set of [[Equation|equalities]] and [[inequality|inequalities]] ( collectively termed ''constraints''), where some of the constraints or the objective function are [[linearity|nonlinear]].
In [[mathematics]], '''nonlinear programming''' ('''NLP''') is the process of minimization or maximization of a function of a set of real variables (termed ''objective function''), while simultaneously satisfying a set of [[Equation|equalities]] and [[inequality|inequalities]] ( collectively termed ''constraints''), where some of the constraints or the objective function are [[Linear function|nonlinear]].


== Mathematical formulation ==
== Mathematical formulation ==

Revision as of 13:08, 13 November 2007

In mathematics, nonlinear programming (NLP) is the process of minimization or maximization of a function of a set of real variables (termed objective function), while simultaneously satisfying a set of equalities and inequalities ( collectively termed constraints), where some of the constraints or the objective function are nonlinear.

Mathematical formulation

A nonlinear programming problem can be stated as:

or

where


See also

External links