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Nonlinear programming
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===2-dimensional example=== [[Image:Nonlinear programming.svg|200px|thumb|right|The blue region is the [[feasible region]]. The [[tangent line|tangency]] of the line with the feasible region represents the solution. The line is the best achievable [[contour line]] (locus with a given value of the objective function).]] A simple problem (shown in the diagram) can be defined by the constraints <math display="block">\begin{align} x_1 &\geq 0 \\ x_2 &\geq 0 \\ x_1^2 + x_2^2 &\geq 1 \\ x_1^2 + x_2^2 &\leq 2 \end{align}</math> with an objective function to be maximized <math display="block">f(\mathbf x) = x_1 + x_2</math> where {{math|1='''x''' = (''x''<sub>1</sub>, ''x''<sub>2</sub>)}}.
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