Progress in industrial mathematics =...
Cruz, Manuel.

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  • Progress in industrial mathematics = success stories : the industry and the academia points of view /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Progress in industrial mathematics/ edited by Manuel Cruz, Carlos Pares, Peregrina Quintela.
    Reminder of title: success stories : the industry and the academia points of view /
    other author: Cruz, Manuel.
    Published: Cham :Springer International Publishing : : 2021.,
    Description: xvii, 249 p. :ill., digital ;24 cm.
    [NT 15003449]: Part I: The Industry Point of View: Hartmann, D. et al., Digital Twins -- Karame, G., Towards Scalable and Private Industrial Blockchains -- Pina, M., Industrial Mathematics: driving a new management approach -- Moorthy, A. and Kearsley, A., Pattern similarity measures applied to mass spectra -- Carrillo Pousa, G., et al., Numerical study of in-situ acoustic impedance and reflection coefficient estimation of locally reacting surfaces with pressure-velocity probes -- Part II: The Academia Point of View: Carrasco, J. and Akhmatskaya, E., Multiscale Modelling and Simulation of Advanced Battery Materials -- Gorria, C. and Lezaun, M., Optimization of the scheduling of the compound production machines in a tires factory -- Luis Santos, J. and Oliveira, A., Traveling Salesman Problem in a Geographic Information Management System -- Cruz, M. et al., Order and Stock Costs Optimization in an Automotive Spare Parts Wholesaler -- Kolmbauer, M. et al., Topological index analysis and its application to multi-physical systems in system simulation software -- Barroso, S. et al., Price Modelling on Heavy-Duty Assistance Contracts -- Gonzalez-Vida, J.M., et al., Tsunami-HySEA: A numerical model developed for Tsunami Early Warning Systems (TEWS) -- Rodriguez Veiga, J. et al., Wildfire resources management: a decision support tool created with R to solve optimisation models in logistics for fighting forest fires.
    Contained By: Springer Nature eBook
    Subject: Engineering mathematics. -
    Online resource: https://doi.org/10.1007/978-3-030-61844-5
    ISBN: 9783030618445
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