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Nonlinear Optimization

In: Optimization in Engineering

Author

Listed:
  • Ramteen Sioshansi

    (The Ohio State University)

  • Antonio J. Conejo

    (The Ohio State University)

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.

Suggested Citation

  • Ramteen Sioshansi & Antonio J. Conejo, 2017. "Nonlinear Optimization," Springer Optimization and Its Applications, in: Optimization in Engineering, chapter 0, pages 197-285, Springer.
  • Handle: RePEc:spr:spochp:978-3-319-56769-3_4
    DOI: 10.1007/978-3-319-56769-3_4
    as

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