Article: Linear and Nonlinear Programming.

The nonlinear programming problem is:

[Mathematical Expression Omitted]

subject to

[c.sub.[Epsilon]](x) = 0, and [c.sub.I](x) [greater than or equal to] 0,

where both the objective function f : D [subset] [R.sup.n] [right arrow] R and the constraint functions [c.sub.[Epsilon]] : D [subset] [R.sup.n] [right arrow] [[R.sup.m].sub.[Epsilon]] and [c.sub.I] : D [subset] [R.sup.n] [right arrow] [[R.sup.m].sub.I] are twice continuously differentiable. The minimization is only required to be achieved locally; when multiple solutions exist, there is no requirement that a global minimizer be obtained. When f is convex, [c.sub.[Epsilon]] is linear, and ...

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