Analytical Methods for Optimization

Jean-Pierre Corriou
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Jean-Pierre Corriou: University of Lorraine

Chapter Chapter 8 in Numerical Methods and Optimization, 2021, pp 455-503 from Springer

Abstract: Abstract After some mathematical reminder, the analytical methods of optimization are exposed in the case of equality constraints with the Lagrangian and inequality constraints with Karush–Kuhn–Tucker parameters. The sensitivity analysis concludes the chapter. These fundamentals are essential for numerical solution of optimization problems. Many mathematical and numerical examples illustrate the different cases encountered.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-030-89366-8_8

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DOI: 10.1007/978-3-030-89366-8_8

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