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Titlebook: New Trends in Mathematical Programming; Homage to Steven Vaj Franco Giannessi,Sándor Komlósi,Tamás Rapcsák Book 1998 Springer Science+Busin

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书目名称New Trends in Mathematical Programming
副标题Homage to Steven Vaj
编辑Franco Giannessi,Sándor Komlósi,Tamás Rapcsák
视频video
丛书名称Applied Optimization
图书封面Titlebook: New Trends in Mathematical Programming; Homage to Steven Vaj Franco Giannessi,Sándor Komlósi,Tamás Rapcsák Book 1998 Springer Science+Busin
描述Though the volume covers 22 papers by 36 authors from 12 countries, the history in the background is bound to Hungary where, in 1973 Andras Pn§kopa started to lay the foundation of a scientific forum, which can be a regular meeting spot for experts of the world in the field. Since then, there has been a constant interest in that forum. Headed at present by Tamas Rapcsak, the Laboratory of Operations Research and Decisions Systems of the Computer and Automation Institute, Hungarian Academy of Sciences followed the tradition in every respect, namely conferences were organized almost in every second year and in the same stimulating area, in the Matra mountains. The basic fields were kept, providing opportunities for the leading personalities to give voice to their latest results. The floor has been widened recently for the young generation, ensuring this way both a real location for the past, present and future experts to meet and also the possibility for them to make the multicoloured rainbow of the fields unbroken and continuous. The volume is devoted to the memory of Steven Vajda, one of the pioneers on mathematical programming, born is Hungary. In 1992 he took part in the XIth Int
出版日期Book 1998
关键词Fitting; Random variable; algorithm; algorithms; best fit; linear optimization; mathematical programming; o
版次1
doihttps://doi.org/10.1007/978-1-4757-2878-1
isbn_softcover978-1-4419-4793-2
isbn_ebook978-1-4757-2878-1Series ISSN 1384-6485
issn_series 1384-6485
copyrightSpringer Science+Business Media Dordrecht 1998
The information of publication is updating

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Necessary conditions for two-function minimax inequalities,d belong to a class consisting of certain generalizations of convex (concave)-like functions. Most of the analysis takes place in topological vector spaces but the results are also extended to pseudoconvex spaces.
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978-1-4419-4793-2Springer Science+Business Media Dordrecht 1998
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Applied Optimizationhttp://image.papertrans.cn/n/image/665976.jpg
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