4. Business Analytics with Nonlinear Programming

Chapter Objectives

• Explain what nonlinear programming models are and why they are more difficult to solve than LP models

• Demonstrate how to formulate nonlinear programming models

• Show how to use Solver to reach solutions for nonlinear programming models

• Explain how to read the Answer Report and how to perform sensitivity analysis for nonlinear programming models

• Offer practical recommendations when using nonlinear models in the era of Big Data

Prescriptive Analytics in Action: Netherlands Increases Protection from Flooding1

1 https://www.informs.org/Sites/Getting-Started-With-Analytics/Analytics-Success-Stories/Case-Studies/Dutch-Delta-Commissioners

Fifty-five percent of the Netherlands ...

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