On the Characterization of Q-Superlinear Convergence of Quasi-Newton Interior-Point Methods for Nonlinear Programming
In this paper we extend the well-known Boggs-Tolle-Wang characterization of Q-superlinear convergence for quasi-Newton methods for equality constrained optimization to quasi-Newton interior-point methods for nonlinear programming. Critical issues in this extension include the choice of the centering parameter, the choice of the steplength parameter, and the determination of the primary variables.
Citable link to this pagehttps://hdl.handle.net/1911/101829
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