Powell, M.J.D. (1983) Variable Metric Methods for Constrained Optimization. Mathematical Programming: The State of the Art, Springer, Berlin Heidelberg.
https://doi.org/10.1007/978-3-642-68874-4_12

has been cited by the following article:

• TITLE: A Spectral Projected Gradient-Newton Two Phase Method for Constrained Nonlinear Equations

  AUTHORS: Yuezhe Zhang

  KEYWORDS: Constrained Semismooth Equations, Spectral Projected Gradient Method, Newton Method, Two-Phase

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.7 No.1, January 16, 2019

  ABSTRACT: In this paper, we proposed a spectral gradient-Newton two phase method for constrained semismooth equations. In the first stage, we use the spectral projected gradient to obtain the global convergence of the algorithm, and then use the final point in the first stage as a new initial point to turn to a projected semismooth asymptotically newton method for fast convergence.