This article describes the current state of the art of interior-point methods (IPMs) for convex, conic, and general nonlinear optimization. We discuss the theory, outline the algorithms, and comment on the applicability of this class of methods, which have revolutionized the field over the last twenty years.
No takes yet. Share an insight, caveat, or question.
Nemirovski et al. (2008) studied this question.
Synapse has enriched 2 closely related papers on similar clinical questions. Consider them for comparative context: