A primal-dual interior-point method capable of rapidly detecting infeasibility for nonlinear programs

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A primal-dual interior-point method capable of rapidly detecting infeasibility for nonlinear programs

With the help of a logarithmic barrier augmented Lagrangian function, we can obtain closed-form solutions of slack variables of logarithmicbarrier problems of nonlinear programs. As a result, a two-parameter primaldual nonlinear system is proposed, which corresponds to the Karush-Kuhn-Tucker point a...

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Bibliographic Details
Main Authors:	Dai, Y.H., Liu, X.W., Sun, Jie
Format:	Journal Article
Language:	English
Published:	AMER INST MATHEMATICAL SCIENCES-AIMS 2020
Subjects:	Science & Technology Technology Physical Sciences Engineering, Multidisciplinary Operations Research & Management Science Mathematics, Interdisciplinary Applications Engineering Mathematics Nonlinear programming constrained optimization infeasibility interior-point method global and local convergence GLOBAL CONVERGENCE ALGORITHM OPTIMIZATION
Online Access:	http://hdl.handle.net/20.500.11937/91435

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