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Livros sobre o tema "Distributed optimization and learning"

Autor: Grafiati

Publicado: 15 de fevereiro de 2025

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1

Jiang, Jiawei, Bin Cui e Ce Zhang. Distributed Machine Learning and Gradient Optimization. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-3420-8.

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2

Wang, Huiwei, Huaqing Li e Bo Zhou. Distributed Optimization, Game and Learning Algorithms. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4528-7.

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3

Joshi, Gauri. Optimization Algorithms for Distributed Machine Learning. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-19067-4.

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4

Tatarenko, Tatiana. Game-Theoretic Learning and Distributed Optimization in Memoryless Multi-Agent Systems. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65479-9.

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5

Oblinger, Diana G. Distributed learning. Boulder, Colo: CAUSE, 1996.

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6

Majhi, Sudhan, Rocío Pérez de Prado e Chandrappa Dasanapura Nanjundaiah, eds. Distributed Computing and Optimization Techniques. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2281-7.

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7

Giselsson, Pontus, e Anders Rantzer, eds. Large-Scale and Distributed Optimization. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97478-1.

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8

Lü, Qingguo, Xiaofeng Liao, Huaqing Li, Shaojiang Deng e Shanfu Gao. Distributed Optimization in Networked Systems. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8559-1.

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9

Abdulrahman Younis Ali Younis Kalbat. Distributed and Large-Scale Optimization. [New York, N.Y.?]: [publisher not identified], 2016.

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10

Otto, Daniel, Gianna Scharnberg, Michael Kerres e Olaf Zawacki-Richter, eds. Distributed Learning Ecosystems. Wiesbaden: Springer Fachmedien Wiesbaden, 2023. http://dx.doi.org/10.1007/978-3-658-38703-7.

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11

Weiss, Gerhard. Distributed machine learning. Sankt Augustin: Infix, 1995.

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12

Capps, Michael V. Fidelity optimization in distributed virtual environments. Monterey, Calif: Naval Postgraduate School, 2000.

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13

Johansson, Bjo rn. On distributed optimization in networked systems. Stockholm: Elektro- och systemteknik, Kungliga Tekniska ho gskolan, 2008.

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14

Dorronsoro, Bernabé, Lionel Amodeo, Mario Pavone e Patricia Ruiz, eds. Optimization and Learning. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85672-4.

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15

Dorronsoro, Bernabé, Patricia Ruiz, Juan Carlos de la Torre, Daniel Urda e El-Ghazali Talbi, eds. Optimization and Learning. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41913-4.

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16

Dorronsoro, Bernabé, Mario Pavone, Amir Nakib e El-Ghazali Talbi, eds. Optimization and Learning. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-22039-5.

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17

Dorronsoro, Bernabé, Francisco Chicano, Gregoire Danoy e El-Ghazali Talbi, eds. Optimization and Learning. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-34020-8.

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18

Dorronsoro, Bernabé, Martin Zagar e El-Ghazali Talbi, eds. Optimization and Learning. Cham: Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-77941-1.

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19

Ding, Lei, Qing-Long Han e Boda Ning. Distributed Control and Optimization of Networked Microgrids. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95029-3.

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20

Mahmoud, Magdi S., e Fouad M. AL-Sunni. Control and Optimization of Distributed Generation Systems. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16910-1.

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21

Anna, DiStefano, Rudestam Kjell Erik e Silverman Robert J. 1940-, eds. Encyclopedia of distributed learning. Thousand Oaks, Calif: Sage Publications, 2004.

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22

Simos, Dimitris E., Panos M. Pardalos e Ilias S. Kotsireas, eds. Learning and Intelligent Optimization. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-92121-7.

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23

Battiti, Roberto, Mauro Brunato, Ilias Kotsireas e Panos M. Pardalos, eds. Learning and Intelligent Optimization. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05348-2.

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24

Cao, Xi-Ren. Stochastic Learning and Optimization. Boston, MA: Springer US, 2007. http://dx.doi.org/10.1007/978-0-387-69082-7.

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25

Pardalos, Panos M., Mauricio G. C. Resende, Chrysafis Vogiatzis e Jose L. Walteros, eds. Learning and Intelligent Optimization. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09584-4.

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26

Maniezzo, Vittorio, Roberto Battiti e Jean-Paul Watson, eds. Learning and Intelligent Optimization. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-92695-5.

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27

Hamadi, Youssef, e Marc Schoenauer, eds. Learning and Intelligent Optimization. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34413-8.

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28

Dhaenens, Clarisse, Laetitia Jourdan e Marie-Eléonore Marmion, eds. Learning and Intelligent Optimization. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19084-6.

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29

Coello, Carlos A. Coello, ed. Learning and Intelligent Optimization. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25566-3.

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30

Battiti, Roberto, Dmitri E. Kvasov e Yaroslav D. Sergeyev, eds. Learning and Intelligent Optimization. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69404-7.

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31

Festa, Paola, Meinolf Sellmann e Joaquin Vanschoren, eds. Learning and Intelligent Optimization. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-50349-3.

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32

Blum, Christian, e Roberto Battiti, eds. Learning and Intelligent Optimization. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13800-3.

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33

Kotsireas, Ilias S., e Panos M. Pardalos, eds. Learning and Intelligent Optimization. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53552-0.

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34

Matsatsinis, Nikolaos F., Yannis Marinakis e Panos Pardalos, eds. Learning and Intelligent Optimization. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38629-0.

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35

Stützle, Thomas, ed. Learning and Intelligent Optimization. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-11169-3.

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36

Nicosia, Giuseppe, e Panos Pardalos, eds. Learning and Intelligent Optimization. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-44973-4.

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37

Simos, Dimitris E., Varvara A. Rasskazova, Francesco Archetti, Ilias S. Kotsireas e Panos M. Pardalos, eds. Learning and Intelligent Optimization. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-24866-5.

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38

Sellmann, Meinolf, e Kevin Tierney, eds. Learning and Intelligent Optimization. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-44505-7.

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39

Festa, Paola, Daniele Ferone, Tommaso Pastore e Ornella Pisacane, eds. Learning and Intelligent Optimization. Cham: Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-75623-8.

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40

Talbi, El-Ghazali. Parallel Combinatorial Optimization. New York: John Wiley & Sons, Ltd., 2006.

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41

Li, Huaqing, Qingguo Lü, Zheng Wang, Xiaofeng Liao e Tingwen Huang. Distributed Optimization: Advances in Theories, Methods, and Applications. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6109-2.

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42

Almquist, Sharon G. Distributed learning and virtual librarianship. Santa Barbara, Calif: Libraries Unlimited, 2011.

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43

Testas, Abdelaziz. Distributed Machine Learning with PySpark. Berkeley, CA: Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9751-3.

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44

Amini, M. Hadi, ed. Distributed Machine Learning and Computing. Cham: Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-57567-9.

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45

Optimization Algorithms for Distributed Machine Learning. Springer International Publishing AG, 2023.

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46

Distributed Machine Learning and Gradient Optimization. Springer, 2023.

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47

Distributed Machine Learning and Gradient Optimization. Springer Singapore Pte. Limited, 2021.

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48

Engineering 5. 0 6G: Distributed Optimization for Control and Learning. Independently Published, 2021.

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49

Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers. 2010.

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50

Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers. Now Publishers, 2011.

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