Abstract
Design and planning problems in environmental engineering are often represented as nonlinear optimization models. Economic or social welfare objectives are, for example, nonlinear functions of resources, products, or project activities. Optimization models of environmental systems frequently incorporate equations describing the underlying flow, mass and energy transport processes. The response of these systems is generally described by nonlinear partial or ordinary differential equations. The numerical approximation of these equations using finite difference or finite element methods, for example, produces systems of nonlinear algebraic constraint equations. The nonlinear equality constraints in optimization models, as we have examined in Example Problem 2.13, generate noncon-vex programming problems.
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Willis, R., Finney, B.A. (2004). Nonlinear Optimization. In: Environmental Systems Engineering and Economics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0479-5_7
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DOI: https://doi.org/10.1007/978-1-4615-0479-5_7
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