Titlebook: Generalized Convexity and Generalized Monotonicity; Proceedings of the 6 Nicolas Hadjisavvas,Juan Enrique Martínez-Legaz,Je Conference proc

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Vector Invex N-set Functions and Minmax ProgrammingVector invexity and generalized vector invexity for n-set functions is introduced which is then utilized to establish sufficient optimality and duality results for a class of minmax programming problems involving n-set functions. Applications of these results to fractional programming problems are also presented.

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Rohaida Mohd Saat,Hidayah Mohd Fadzilsum of .(≥ 2) linear fractional functions over a polytope. Algorithms to be discussed are: parametric simplex algorithm for rank-2 problems, convergent approximate algorithm for rank-3 problems, generalized convex multiplicative programming approach and branch and bound algorithm using piecewise con

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https://doi.org/10.1007/978-1-4615-0857-1y”, that means, given a finite set . of points in the plane, search for a network interconnecting these points with minimal length. This shortest network must be a tree and is called a Steiner Minimal Tree (SMT). It may contain vertices different from the points which axe to be connected. Such point

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