Results 101 to 110 of about 767,552 (139)
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Criteria for generalized invex monotonicities
European Journal of Operational Research, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xinmin Yang 0001 +2 more
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Invexity and Generalized Convexity
Optimization, 1991Let f be a real differentiate function defined on the open subset A of R n;f is said to be invex if the following inequality is satisfied for a suitable function η The purpose of this paper is to investigate the relationship between invexity and generalized convexity; moreover, we shall give necessary and sufficient conditions for a differentiable ...
Rita Pini
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Generalized invex monotonicity
European Journal of Operational Research, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gabriel Ruiz Garzón +2 more
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Note on generalized invex functions
Optimization Letters, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dehui Yuan +2 more
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Generalized Nonsmooth Invexity
Journal of Information and Optimization Sciences, 1994Abstract In this paper sufficient optimality conditions and duality results are established for a nonlinear programming problem without differentiability assumption on the data wherein Clarke’s generalized gradient is used to define invexity, pβeudoinvexity and quasiinvexity for Lipβchitz functions.
R. N. Kaul, S. K. Suneja, C. S. Lalitha
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Duality for a Class of Multiobjective Control Problems With Generalized Invexity
To a given multiobjective control problem the authors associate two mixed type duals following the model of \textit{D. Bhatia} and \textit{P. Kumar} [ibid. 189, 676-692 (1995; Zbl 0831.90100)]. Several weak duality relations are established under generalized invex hypotheses.
Zhian Liang
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Some Results on Mathematical Programming With Generalized Ratio Invexity
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L Venkateswara Reddy, R N Mukherjee
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Generalized Invexity and Duality in Multiobjective Programming Problems
Journal of Global Optimization, 2000The paper generalizes the concept of type I functions introduced by Hanson and Mond (1987) to vector-valued functions in order to develop duality results for nonlinear multiobjective programming problems with inequality constraints. Under these generalized type I assumptions, Mond-Weir and generalized Mond-Weir type duals are formulated and the concept
Brahim Aghezzaf, Mohamed Hachimi
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Optimization with generalized invexity
Optimization, 2005Constrained optimization is studied, with nonsmooth (Lipschitz) functions in abstract spaces and cone-constraints. Some more general Lagrangian necessary conditions are obtained, using strict minimum and approximation methods. These conditions are sufficient for a minimum under generalized invex assumptions.
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Multiobjective Programming Under Generalized Type I Invexity
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Rita Pini, Chanchal Singh
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