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3
Mathematical models in photographic science / Avner Friedman, David S. Ross
Berlin : Springer , c2003
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4. The European consortium for mathenatics in industry
Scientific computing in electrical engineering : proceedings of the SCEE-2002 conference held in Eindhoven / Wilhelmus H. A. Schilders, E. Jan W. ter Maten, Stephan H. M. J. Houben, editors
Berlin : Springer , c2004
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6 . European consortium for mathematics in industry
Multidisciplinary methods for analysis optimization and control of complex systems / Vincenzo Capasso, Jacques Périaux, editor
Berlin : Springer , c2005
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9
Scientific computing in electrical engineering / ed. A. M. Anile, G. Alì, G. Mascali
Berlin : Springer , 2006
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21 . The European consortium for mathematics in industry
Coupled multiscale simulation and optimization in nanoelectronics / Michael Günther, editor
Heidelberg : Springer , c2015
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23 . The European consortium for mathematics in industry
Scientific computing in electrical engineering : SCEE 2014, Wuppertal, Germany, July 2014 / Andreas Bartel ... [et al.], editors
[Cham] : Springer , c2016
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25 . The European consortium for mathematics in industry
Novel methods in computational finance / Matthias Ehrhardt, Michael Günther, E. Jan W. ter Maten, editors
[Cham] : Springer , c2017
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| 8 |
27 . The European consortium for mathematics in industry
Math for the digital factory / Luca Ghezzi, Dietmar Hömberg, Chantal Landry, editors
[Cham] : Springer , c2017
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| 9 |
v. 29
Mathematical modelling for next-generation cryptography : Crest Crypto-math Project / Tsuyoshi Takagi ... [et al.], editors
Singapore : Springer , c2018
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31 . The European consortium for mathematics in industry
Charge transport in low dimensional semiconductor structures : the maximum entropy approach / Vito Dario Camiola, Giovanni Mascali, Vittorio Romano
Cham : Springer , c2020
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33 . The European consortium for mathematics in industry
Mathematical modelling in real life problems : case studies from ECMI-Modelling Weeks / Ewald Lindner, Alessandra Micheletti, Cláudia Nunes, editors
Cham : Springer , c2020
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37
Geometry of deep learning : a signal processing perspective / Jong Chul Ye
:hbk.. - Singapore : Springer , 2022
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