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Zustand: New. pp. 284.
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Sprache: Englisch
Verlag: Kluwer Academic Publishers, 1995
ISBN 10: 0792334884 ISBN 13: 9780792334880
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Zustand: New. Proceedings of the NATO Advanced Research Workshop, Centre de Physique, Les Houches, France, 21--25 June 1993 Editor(s): Dimet, Francois-Xavier Le. Series: NATO Science Series C. Num Pages: 261 pages, biography. BIC Classification: RBKC. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 244 x 170 x 17. Weight in Grams: 576. . 1995. Hardback. . . . .
Sprache: Englisch
Verlag: Kluwer Academic Publishers, 1995
ISBN 10: 0792334884 ISBN 13: 9780792334880
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. Proceedings of the NATO Advanced Research Workshop, Centre de Physique, Les Houches, France, 21--25 June 1993 Editor(s): Dimet, Francois-Xavier Le. Series: NATO Science Series C. Num Pages: 261 pages, biography. BIC Classification: RBKC. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 244 x 170 x 17. Weight in Grams: 576. . 1995. Hardback. . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: Springer Netherlands, Springer Netherlands, 1995
ISBN 10: 0792334884 ISBN 13: 9780792334880
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - High Performance Computing in the Geosciences surveys the state of the art of programs presently being developed which require high performance computing for their implementation, provides a guide for decision making in regard to computing directions in future numerical models, and provides an overview of future developments in massively parallel processing and their implications for numerical modelling in the geosciences.
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Sprache: Englisch
Verlag: Springer Netherlands, Springer Netherlands Okt 2012, 2012
ISBN 10: 9401040192 ISBN 13: 9789401040198
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -High Performance Computing in the Geosciences surveys the state of the art of programs presently being developed which require high performance computing for their implementation, provides a guide for decision making in regard to computing directions in future numerical models, and provides an overview of future developments in massively parallel processing and their implications for numerical modelling in the geosciences. 284 pp. Englisch.
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Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In total, this Special Issue includes 11 papers. Firstly, Qi et al. conducted research on the large-scale non-uniform parallel solution of the two-dimensional Saint-Venant equations for flood behavior modeling. Zhang et al. proposed an efficient deep learning-based mineral identification method. Subsequently, Huang et al. proposed a named entity recognition method for geological news based on BERT model. Yang et al. proposed an automatic landslide identification method to solve the problem of the time-consuming nature and low efficiency of traditional landslide identification methods. Du et al. analyzed the potential of unsupervised machine learning methods for submarine landslide prediction. Wang et al. performed parallel computations on the inversion algorithm of the two-dimensional ZTEM. Xu et al. used the sliding window method and gray relational analysis to extract features from multi-source real-time monitoring data of landslides. Furthermore, Cao et al. proposed a new method called dual encoder transform (DualET) for the short-term prediction of photovoltaic power. Hao et al. conducted a series of parallel optimizations and large-scale parallel simulations on the high-resolution ocean model. Wang et al. proposed a time series prediction model for landslide displacements using mean-based low-rank autoregressive tensor completion. Finally, Yang et al. developed a measure of site-level gross primary productivity (GPP) using the GeoMAN model.