A nonlinear programming algorithm based on non-coercive penalty functions

Abstract

We consider first the differentiable nonlinear programming problem and study the asymptotic behavior of methods based on a family of penalty functions that approximate asymptotically the usual exact penalty function. We associate two parameters to these functions: one is used to control the slope and the other controls the deviation from the exact penalty… (More)
DOI: 10.1007/s10107-002-0332-z

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Cite this paper

@article{Gonzaga2003ANP, title={A nonlinear programming algorithm based on non-coercive penalty functions}, author={Cl{\'o}vis C. Gonzaga and R{\'o}mulo A. Castillo}, journal={Math. Program.}, year={2003}, volume={96}, pages={87-101} }