Filter Methods

Neculai Andrei ()
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Neculai Andrei: Center for Advanced Modeling and Optimization

Chapter 18 in Modern Numerical Nonlinear Optimization, 2022, pp 647-659 from Springer

Abstract: Abstract This chapter focuses on the filter methods developed by Fletcher and Leyffer (2002) as a new technique for the globalization of nonlinear optimization algorithms. These methods are motivated by the aim of avoiding the need to choose penalty parameters in penalty functions or in augmented Lagrangian functions and their variants. Let us consider the nonlinear optimization problems with inequality constraints.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-031-08720-2_18

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DOI: 10.1007/978-3-031-08720-2_18

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