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Titlebook: V-Invex Functions and Vector Optimization; Shashi Kant Mishra,Shouyang Wang,Kin Keung Lai Book 2008 Springer-Verlag US 2008 Duality.Genera

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elocities. The first variation addresses the question: given a point .. and time .. who is the nearest postman to .. at time ..? We present a randomized incremental data structure that answers the query in expected .(log..) time. The second variation views a query point as a dog searching for a post
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a formal explication of the notion of algorithm (or, better to say, computable function) — therefore the notion of algorithm was considered as existing independently of (and before) these constructions.
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ether his offer seems to be reasonable for his partner or not. Therefore, visual communications is regarded to be essential to avoid misunderstandings between people, occurring, e.g., because of the anonymous style of an e-mail.
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man to bite and finds the postman that a dog running with speed .. could reach first. We show that if the dog is quicker than all of the postmen then the data structure developed for the first problem permits us to solve the second one in .(log..) time as well.
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V-Invexity in Nonlinear Multiobjective Programming, dual programs, such as the Wolfe and Mond-Weir duals, formulated from the necessary optimality conditions. Since then, various generalizations of invexity have been introduced in the literature e.g. Craven and Glover (1985), Egudo (1989), Hanson and Mond (1982), Kaul and Kaur (1985), Martin (1983),
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