In this paper, we present a general convergent scheme for interior-point methods for non-convex nonlinear programming that departs from the classical ...
Oct 22, 2024 · In this paper, we propose a modified primal–dual interior-point method for nonlinear programming that relaxes the requirement of closely ...
In this paper, we propose a modified primal–dual interior-point method for nonlinear programming that relaxes the requirement of closely following the central ...
This article provides a condensed, selective look at classical material and recent research about interior methods for nonlinearly constrained optimization.
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In this paper we use the filter technique of Fletcher and Leyffer [13] to globalize the primal-dual interior-point method for nonlinear optimization. This ...
In this paper, we present global and local convergence results for an interior-point method for nonlinear programming and analyze the compu- tational ...
Abstract. Interior methods are an omnipresent, conspicuous feature of the constrained optimiza- tion landscape today, but it was not always so.
May 18, 2024 · Interior-point methods are some of the most powerful techniques for solving nonlinear optimization problems with general equality and ...
In this paper we use the filter technique of Fletcher and Leyffer [14] to globalize the primal-dual interior-point method for nonlinear optimization. This ...
In this paper we analyzed convergence of the primal-dual interior-point algorithm for nonlinear optimization problems with inequality constraints. The ...