Lai, Hang-Chin; Yang, Shu-Shih Saddle point and duality in the optimization theory of convex set functions. (English) Zbl 0502.49006 J. Aust. Math. Soc., Ser. B 24, 130-137 (1982). Page: −5 −4 −3 −2 −1 ±0 +1 +2 +3 +4 +5 Show Scanned Page Cited in 25 Documents MSC: 49J27 Existence theories for problems in abstract spaces 90C55 Methods of successive quadratic programming type 28A15 Abstract differentiation theory, differentiation of set functions 49J45 Methods involving semicontinuity and convergence; relaxation 26B25 Convexity of real functions of several variables, generalizations 90C25 Convex programming Keywords:optimization of convex set functions; duality; saddle point; finite atomless measure space; subgradient; convex set function; subdifferential; conjugate set; conjugate functional; Lagrangian PDFBibTeX XMLCite \textit{H.-C. Lai} and \textit{S.-S. Yang}, J. Aust. Math. Soc., Ser. B 24, 130--137 (1982; Zbl 0502.49006) Full Text: DOI