Nonlinear Optimization

Ramteen Sioshansi () and Antonio J. Conejo ()
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Ramteen Sioshansi: The Ohio State University
Antonio J. Conejo: The Ohio State University

Chapter Chapter 4 in Optimization in Engineering, 2017, pp 197-285 from Springer

Abstract: Abstract This chapter considers nonlinear programming problem (NLPP), which are problems that have an objective function or at least one constraint that is nonlinear in the decision variables. We begin by first introducing some examples of nonlinear optimization problems. We then discuss an analytical approach to solving NLPPs. This method uses what are called optimality conditions, which are properties that an optimal set of decision variables has to exhibit. Chapter 5 then introduces the use of iterative solution algorithms, which are techniques commonly used by software packages, to solve NLPPs.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-319-56769-3_4

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DOI: 10.1007/978-3-319-56769-3_4

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