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Pang, L.-L. and Zhu, D.-T. (2016) A Line Search Filter-SQP Method with Lagrangian Function for Nonlinear Inequality Constrained Optimization. Japan Journal of Industrial and Applied Mathematics, 34, 141-176.
https://doi.org/10.1007/s13160-017-0236-1

has been cited by the following article:

• TITLE: On the Solution of the Eigenvalue Complementarity Problem by a Line Search Filter-SQP Algorithm

  AUTHORS: Qiu Yu, Zhensheng Yu, Yangchen Liu

  KEYWORDS: Eigenvalue Complementarity Problem, Nonlinear Programming, Line Search, Filter Method

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.5 No.10, October 25, 2017

  ABSTRACT: In this paper, the Eigenvalue Complementarity Problem (EiCP) with real symmetric matrices is addressed, which appears in the study of contact problem in mechanics. We discuss a quadratic programming formulation to the problem. The resulting problems are nonlinear programs that can be solved by a line search filter-SQP algorithm.