Semantic Scholar Open Access 2018 32 sitasi

Generalized Sensitivity Analysis of Nonlinear Programs

Peter G. Stechlinski Kamil A. Khan P. I. Barton

Abstrak

This paper extends classical sensitivity results for nonlinear programs to cases in which parametric perturbations cause changes in the active set. This is accomplished using lexicographic directional derivatives, a recently developed tool in nonsmooth analysis based on Nesterov's lexicographic differentiation. A nonsmooth implicit function theorem is augmented with generalized derivative information and applied to a standard nonsmooth reformulation of the parametric KKT system. It is shown that the sufficient conditions for this implicit function theorem variant are implied by a KKT point satisfying the linear independence constraint qualification and strong second-order sufficiency. Mirroring the classical theory, the resulting sensitivity system is a nonsmooth equation system which admits primal and dual sensitivities as its unique solution. Practically implementable algorithms are provided for calculating the nonsmooth sensitivity system's unique solution, which is then used to furnish B-subdifferenti...

Penulis (3)

P

Peter G. Stechlinski

K

Kamil A. Khan

P

P. I. Barton

Format Sitasi

Stechlinski, P.G., Khan, K.A., Barton, P.I. (2018). Generalized Sensitivity Analysis of Nonlinear Programs. https://doi.org/10.1137/17M1120385

Akses Cepat

Lihat di Sumber doi.org/10.1137/17M1120385
Informasi Jurnal
Tahun Terbit
2018
Bahasa
en
Total Sitasi
32×
Sumber Database
Semantic Scholar
DOI
10.1137/17M1120385
Akses
Open Access ✓