On saddle points in nonconvex semi-infinite programming

DOI10.1007/s10898-011-9753-7zbMath1303.90109OpenAlexW2022364027MaRDI QIDQ1928307

Ralf Werner, Francisco Guerra Vázquez, Jan-Joachim Rückmann

Publication date: 3 January 2013

Published in: Journal of Global Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10898-011-9753-7

zbMATH Keywords

dualityLagrangian functionsemi-infinite programming (SIP)primal dual methodlocal convexificationreduction approach(partial) \(p\)-power formulationextended Mangasarian Fromovitz constraint qualification (EMFCQ)extended strong second-order sufficient condition (ESSOSC)linear independent constraint qualificationlocal saddle pointstrong second-order sufficient condition (SSOSC)

Mathematics Subject Classification ID

Nonconvex programming, global optimization (90C26) Optimality conditions and duality in mathematical programming (90C46) Semi-infinite programming (90C34)

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