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Found 2,224 Documents (Results 1–100)

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Shah, Nita H. (ed.) et al., Mathematical analysis for transmission of COVID-19. Singapore: Springer. Math. Eng. (Cham), 309-323 (2021).
MSC:  92D30 86A10
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Segal, Rebecca (ed.) et al., Using mathematics to understand biological complexity. From cells to populations. Selected papers of the collaborative workshop for woman in mathematical biology, University of California, Los Angeles, CA, USA, June 17–21, 2019. Cham: Springer. Assoc. Women Math. Ser. 22, 7-33 (2021).
MSC:  92C45 92C37 35Q92
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D’Elia, Marta (ed.) et al., Quantification of uncertainty: improving efficiency and technology. QUIET. Selected contributions based on the presentations at the international workshop, Trieste, Italy, July 18–21, 2017. Cham: Springer. Lect. Notes Comput. Sci. Eng. 137, 193-215 (2020).
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Tuffin, Bruno (ed.) et al., Monte Carlo and quasi-Monte Carlo methods. MCQMC 2018. Proceedings of the 13th international conference on Monte Carlo and quasi-Monte Carlo methods in scientific computing, Rennes, France, July 1–6, 2018. Cham: Springer. Springer Proc. Math. Stat. 324, 403-421 (2020).
MSC:  65C05
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