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Titlebook: Generalized Convexity and Fractional Programming with Economic Applications; Proceedings of the I Alberto Cambini,Erio Castagnoli,Siegfried

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楼主: Interjection
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Concept Generation for Design Creativitytions in terms of the subgradients of convex directional derivatives. In this paper, we derive some general versions of these conditions for an inequality-constrained, nondifferentiable, nonconvex mathematical program.
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Convex Directional Derivatives in Optimizationtions in terms of the subgradients of convex directional derivatives. In this paper, we derive some general versions of these conditions for an inequality-constrained, nondifferentiable, nonconvex mathematical program.
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The Postulate of Closest Approach,ically convergent in a neighburhood of the solution when the Haar condition is meet (i.e. if H is the objective function and x* the solution there are V.,….. , V. in δH(x*) and the set of vectors {v.}, i = 1, …., p + 1 has rank p).
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Conference proceedings 1990ied sciences.· In 1949 de Finetti introduced one of the fundamental of generalized convex functions characterized by convex level sets which are now known as quasiconvex functions. Since then numerous types of generalized convex functions have been defined in accordance with the need of particular a
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Concentration and Public Policy,The convexity of sets and the convexity and concavity of functions have been the object of many studies during the past one hundred years.
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The Child’s and the Practical View of SpaceA short review of the recent results pertaining to linear fractional Programming problems under disjunctive constraints is presented in this paper. A few areas for further research are outlined.
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Introduction to Generalized ConvexityThe convexity of sets and the convexity and concavity of functions have been the object of many studies during the past one hundred years.
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