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Titlebook: Ordinary and Modular Representations of Chevalley Groups; James E. Humphreys Book 1976 Springer-Verlag Berlin Heidelberg 1976 Chevalleysch

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书目名称Ordinary and Modular Representations of Chevalley Groups
编辑James E. Humphreys
视频video
丛书名称Lecture Notes in Mathematics
图书封面Titlebook: Ordinary and Modular Representations of Chevalley Groups;  James E. Humphreys Book 1976 Springer-Verlag Berlin Heidelberg 1976 Chevalleysch
出版日期Book 1976
关键词Chevalleysche Gruppe; Darstellung; Modul; presentation; matrix theory
版次1
doihttps://doi.org/10.1007/BFb0079105
isbn_softcover978-3-540-07796-1
isbn_ebook978-3-540-38261-4Series ISSN 0075-8434 Series E-ISSN 1617-9692
issn_series 0075-8434
copyrightSpringer-Verlag Berlin Heidelberg 1976
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James E. Humphreysion-based services (LBS). However, not every LBS provider has adequate resources to compute/estimate travel time for routes by themselves. A cost-effective way for LBS providers to estimate travel time for routes is to issue external requests to Web mapping services (e.g., Google Maps, Bing Maps, an
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James E. Humphreysion-based services (LBS). However, not every LBS provider has adequate resources to compute/estimate travel time for routes by themselves. A cost-effective way for LBS providers to estimate travel time for routes is to issue external requests to Web mapping services (e.g., Google Maps, Bing Maps, an
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James E. Humphreys and affect the accuracy of recommendation. To address these problems, we consider from the perspective of resource provider and propose a resource recommendation framework based on regular tags and user operation feedbacks. Based on these concepts, we design the user feature representation integrat
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model on distributed stream joins and supports arbitrary join predicates. It can handle data skew perfectly since it randomly routes tuples to cells with each steam corresponding to one side of the matrix. Designing of the partitioning scheme of the matrix is a determining factor to maximize system
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Ordinary and Modular Representations of Chevalley Groups978-3-540-38261-4Series ISSN 0075-8434 Series E-ISSN 1617-9692
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