Two Classes of Smooth Objective Penalty Functions for Constrained Problems
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Publication:4634139
DOI10.1080/01630563.2018.1554586zbMath1411.90328OpenAlexW2910334512WikidataQ128594563 ScholiaQ128594563MaRDI QIDQ4634139
Jiahui Tang, Wei Wang, Yi-Fan Xu
Publication date: 7 May 2019
Published in: Numerical Functional Analysis and Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/01630563.2018.1554586
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Cites Work
- An M-objective penalty function algorithm under big penalty parameters
- A new objective penalty function approach for solving constrained minimax problems
- Smoothing of the lower-order exact penalty function for inequality constrained optimization
- A nonlinear programming algorithm based on non-coercive penalty functions
- An objective penalty function method for nonlinear programming.
- A simple smooth exact penalty function for smooth optimization problem
- Smoothing approximation to \(l_1\) exact penalty function for inequality constrained optimization
- Exactness and algorithm of an objective penalty function
- Augmented Lagrangian Objective Penalty Function
- A Barrier Method for Large-Scale Constrained Optimization
- Non-Linear Programming Via Penalty Functions
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