Книги з теми "Distributed optimization and learning"

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

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

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

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.

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

Majhi, Sudhan, Rocío Pérez de Prado, and 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.

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

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

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

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

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

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

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

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

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

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

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

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

Ding, Lei, Qing-Long Han, and 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.

Mahmoud, Magdi S., and 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.

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

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

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

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

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

Maniezzo, Vittorio, Roberto Battiti, and 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.

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

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

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.

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

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

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

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

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

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

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

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

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

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

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

Li, Huaqing, Qingguo Lü, Zheng Wang, Xiaofeng Liao, and 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.

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

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

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.

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

Distributed Machine Learning and Gradient Optimization. Springer, 2023.

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

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

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

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