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Found 402 Documents (Results 1–100)

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Autom. Remote Control 80, No. 9, 1607-1627 (2019); translation from Avtom. Telemekh. 2019, No. 9, 64-90 (2019).
MSC:  93E20 93B35
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Diskretn. Anal. Issled. Oper. 26, No. 1, 55-73 (2019); translation in J. Appl. Ind. Math. 13, No. 1, 54-64 (2019).
MSC:  91B24 91A65 68W25
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Proceedings of the 37th ACM symposium on principles of distributed computing, PODC ’18, Egham, UK, July 23–27, 2018. New York, NY: Association for Computing Machinery (ACM). 487-488 (2018).
MSC:  68T05 68W15
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Proceedings of the 37th ACM symposium on principles of distributed computing, PODC ’18, Egham, UK, July 23–27, 2018. New York, NY: Association for Computing Machinery (ACM). 169-178 (2018).
MSC:  68T05 68W15
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Giselsson, Pontus (ed.) et al., Large-scale and distributed optimization. Contributions of the workshop, Lund, Sweden, June 14–16, 2017. Cham: Springer. Lect. Notes Math. 2227, 181-213 (2018).
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Hanneke, Steve (ed.) et al., International conference on algorithmic learning theory. Proceedings of the 28th conference (ALT 2017), Kyoto University, Kyoto, Japan, October 15–17, 2017. [s.l.]: Proceedings of Machine Learning Research PMLR. Proceedings of Machine Learning Research (PMLR) 76, 681-720 (2017).
MSC:  68T05 68W27 90C15
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Papadimitriou, Christos H. (ed.), 8th innovations in theoretical computer science conference, ITCS 2017, Berkeley, CA, USA, January 9–11, 2017. Wadern: Schloss Dagstuhl – Leibniz Zentrum für Informatik (ISBN 978-3-95977-029-3). LIPIcs – Leibniz International Proceedings in Informatics 67, Article 3, 22 p. (2017).
MSC:  90C52 68W40
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Proceedings of the 2017 ACM symposium on principles of distributed computing, PODC ’17, Washington, DC, USA, July 25–27, 2017. New York, NY: Association for Computing Machinery (ACM) (ISBN 978-1-4503-4992-5). 455-457 (2017).
MSC:  68T05 68W15
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Schütze, Oliver (ed.) et al., NEO 2015. Results of the numerical and evolutionary optimization workshop NEO 2015 held at September 23–25 2015 in Tijuana, Mexico. Cham: Springer (ISBN 978-3-319-44002-6/hbk; 978-3-319-44003-3/ebook). Studies in Computational Intelligence 663, 281-330 (2017).
MSC:  90C29 90C59
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Wichs, Daniel (ed.) et al., Proceedings of the 48th annual ACM SIGACT symposium on theory of computing, STOC ’16, Cambridge, MA, USA, June 19–21, 2016. New York, NY: Association for Computing Machinery (ACM) (ISBN 978-1-4503-4132-5). 598-611 (2016).
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Wichs, Daniel (ed.) et al., Proceedings of the 48th annual ACM SIGACT symposium on theory of computing, STOC ’16, Cambridge, MA, USA, June 19–21, 2016. New York, NY: Association for Computing Machinery (ACM) (ISBN 978-1-4503-4132-5). 9-21 (2016).
MSC:  68U05 68Q25 90C51
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Glowinski, Roland (ed.) et al., Splitting methods in communication and imaging, science, and engineering. Cham: Springer (ISBN 978-3-319-41587-1/hbk; 978-3-319-41589-5/ebook). Scientific Computation, 237-249 (2016).
MSC:  65K05 90C26
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Probl. Inf. Transm. 52, No. 1, 100-101 (2016); translation from Probl. Peredachi Inf. 52, No. 1, 110-111 (2016).
MSC:  11Y16 11M06 41A60
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Naik, Ganesh R. (ed.), Non-negative matrix factorization techniques. Advances in theory and applications. Berlin: Springer (ISBN 978-3-662-48330-5/hbk; 978-3-662-48331-2/ebook). Signals and Communication Technology, 89-118 (2016).
MSC:  65F30
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