Wächter, Andreas; Biegler, Lorenz T. Line search filter methods for nonlinear programming: local convergence. (English) Zbl 1115.90056 SIAM J. Optim. 16, No. 1, 32-48 (2005). Summary: A line search method is proposed for nonlinear programming using Fletcher and Leyffer’s filter method [R. Flechter and S. Leyffer, Math. Program. 91, No. 2 (A), 239–269 (2002; Zbl 1049.90088)], which replaces the traditional merit function. A simple modification of the method proposed in a companion paper [SIAM J. Optim. 16, No. 1, 1–31 (2005; Zbl 1114.90128)] introducing second order correction steps is presented. It is shown that the proposed method does not suffer from the Maratos effect, so that fast local convergence to second order sufficient local solutions is achieved. Cited in 95 Documents MSC: 90C30 Nonlinear programming 49M37 Numerical methods based on nonlinear programming 65K05 Numerical mathematical programming methods 90C55 Methods of successive quadratic programming type Keywords:nonlinear programming; nonconvex constrained optimization; filter method; line search; local convergence; Maratos effect; second order correction Citations:Zbl 1049.90088; Zbl 1114.90128 PDFBibTeX XMLCite \textit{A. Wächter} and \textit{L. T. Biegler}, SIAM J. Optim. 16, No. 1, 32--48 (2005; Zbl 1115.90056) Full Text: DOI