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Irina Utkina – författare

Visar alla böcker från författaren Irina Utkina. Handla med fri frakt och snabb leverans.

3 produkter

  1. Valery A. Kalyagin, Panos M. Pardalos, Oleg Prokopyev, Irina Utkina - Computational Aspects and Applications in Large-Scale Networks, Häftad. Tillgänglighet: Lägg i varukorg

    Computational Aspects and Applications in Large-Scale Networks

    NET 2017, Nizhny Novgorod, Russia, June 2017

    Av Valery A. Kalyagin, Panos M. Pardalos m. fl.

    Häftad, 2019

    1098 kr

    Lägg i varukorg

    Contributions in this volume focus on computationally efficient algorithms and rigorous mathematical theories for analyzing large-scale networks. Researchers and students in mathematics, economics, statistics, computer science and engineering will find this collection a valuable resource filled …

  2. Valery A. Kalyagin, Panos M. Pardalos, Oleg Prokopyev, Irina Utkina - Computational Aspects and Applications in Large-Scale Networks, Inbunden. Tillgänglighet: Lägg i varukorg

    Computational Aspects and Applications in Large-Scale Networks

    NET 2017, Nizhny Novgorod, Russia, June 2017

    Av Valery A. Kalyagin, Panos M. Pardalos m. fl.

    Inbunden, 2018

    1098 kr

    Lägg i varukorg

    Contributions in this volume focus on computationally efficient algorithms and rigorous mathematical theories for analyzing large-scale networks. Researchers and students in mathematics, economics, statistics, computer science and engineering will find this collection a valuable resource filled …

  3. Irina Utkina, Oleg Prokopyev, Panos M. Pardalos, Valery A. Kalyagin - Computational Aspects and Applications in Large-Scale Networks, E-bok. Tillgänglighet: Lägg i varukorg

    Computational Aspects and Applications in Large-Scale Networks

    NET 2017, Nizhny Novgorod, Russia, June 2017

    Av Irina Utkina, Oleg Prokopyev m. fl.

    E-bok, 2018

    1459 kr

    Lägg i varukorg

    Contributions in this volume focus on computationally efficient algorithms and rigorous mathematical theories for analyzing large-scale networks. Researchers and students in mathematics, economics, statistics, computer science and engineering will find this collection a valuable resource filled …