On the use of ε-most-active constraints in an exact penalty function method for nonlinear optimization
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Publication:3220364
DOI10.1109/TAC.1984.1103414zbMath0555.90088MaRDI QIDQ3220364
Yoshihiro Tanaka, Masao Fukushima, Hisashi Mine
Publication date: 1984
Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)
global convergencetrust region methodconstrained nonlinear programmingepsilon-most active constraint set
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