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Convergence of an augmented Lagrange algorithm for nonlinear optimizations with second-order cone constraints |
Jin GUO, Suxiang HE( ) |
| School of Science, Wuhan University of Technology, Wuhan 430070, China |
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Abstract An augmented Lagrange algorithm for nonlinear optimizations with second-order cone constraints is proposed based on a Löwner operator associated with a potential function for the optimization problems with inequality constraints. The favorable properties of both the Löwner operator and the corresponding augmented Lagrangian are discussed. And under some mild assumptions, the rate of convergence of the augmented Lagrange algorithm is studied in detail.
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| Keywords
Potential function
Löwner operator
augmented Lagrange algorithm
nonlinear second-order cone optimizations
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Corresponding Author(s):
Suxiang HE
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Issue Date: 19 May 2022
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