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Found 1,058 Documents (Results 1–100)

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Lee, Cheng Few (ed.) et al., Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 2. Hackensack, NJ: World Scientific. 2303-2321 (2021).
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Comput. Math. Math. Phys. 60, No. 1, 82-89 (2020); translation from Zh. Vychisl. Mat. Mat. Fiz. 60, No. 1, 88-95 (2020).
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Canale, Antonio (ed.) et al., Studies in neural data science. StartUp research 2017, Siena, Italy, June 25–27, 2017. Cham: Springer. Springer Proc. Math. Stat. 257, 1-22 (2018).
MSC:  92C55 92C20
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Hibi, Takayuki (ed.), The 50th anniversary of Gröbner bases. Proceedings of the 8th Mathematical Society of Japan-Seasonal Institute (MSJ-SI 2015), Osaka, Japan, July 1–10, 2015. Tokyo: Mathematical Society of Japan (MSJ). Adv. Stud. Pure Math. 77, 171-205 (2018).
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Owen, Art B. (ed.) et al., Monte Carlo and quasi-Monte Carlo methods, MCQMC 2016. Proceedings of the 12th international conference on ‘Monte Carlo and quasi-Monte Carlo methods in scientific computing’, Stanford, CA, August 14–19, 2016. Cham: Springer. Springer Proc. Math. Stat. 241, 99-121 (2018).
MSC:  65C05 60J60 65-01
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Springer Proceedings in Mathematics & Statistics 257. Cham: Springer (ISBN 978-3-030-00038-7/hbk; 978-3-030-00039-4/ebook). xi, 156 p. (2018).
MSC:  92-06 92C55 92B20 92B25 92C20 62P10 62-07
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Solid Mechanics and Its Applications 246. Cham: Springer (ISBN 978-3-319-72295-5/hbk; 978-3-319-72296-2/ebook). xxiv, 518 p. (2018).
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Boucherie, Richard J. (ed.) et al., Markov decision processes in practice. Cham: Springer (ISBN 978-3-319-47764-0/hbk; 978-3-319-47766-4/ebook). International Series in Operations Research & Management Science 248, 425-438 (2017).
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