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

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

Internet

http://hdl.handle.net/20.500.11937/91435

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