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Found 427 Documents (Results 1–100)

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Aja-Fernández, Santiago; Tristán-Vega, Antonio; De Luis-García, Rodrigo; Jones, Derek K.
Alternative diffusion anisotropy metric from reduced MRI acquisitions. (English) Zbl 07304433
Bonet-Carne, Elisenda (ed.) et al., Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer (ISBN 978-3-030-52892-8/hbk; 978-3-030-52893-5/ebook). Mathematics and Visualization, 13-24 (2020).
MSC:  92C55 92B20 92-08
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\textit{S. Aja-Fernández} et al., in: Computational diffusion MRI. MICCAI workshop, Shenzhen, China, October 17, 2019. Cham: Springer. 13--24 (2020; Zbl 07304433)
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D’Elia, M.; Phipps, E.; Rushdi, A.; Ebeida, M. S.
Surrogate-based ensemble grouping strategies for embedded sampling-based uncertainty quantification. (English) Zbl 07287503
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 (ISBN 978-3-030-48720-1/hbk; 978-3-030-48721-8/ebook). Lecture Notes in Computational Science and Engineering 137, 41-66 (2020).
MSC:  62L20 62-08 65M70 60H15 35R60
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\textit{M. D'Elia} et al., Lect. Notes Comput. Sci. Eng. 137, 41--66 (2020; Zbl 07287503)
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Rougerie, Nicolas
Limits of bosonic mean field at positive temperature. (Limites de champ moyen bosoniques à température positive.) (French) Zbl 07272383
Breuillard, Emmanuel (ed.), SMF 2018 : Congrès de la Société Mathématique de France. Paris: Société Mathématique de France (SMF) (ISBN 978-2-85629-912-8/pbk). Séminaires et Congrès 33, 329-353 (2019).
MSC:  82B28 82D05 35Q55
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\textit{N. Rougerie}, Sémin. Congr. 33, 329--353 (2019; Zbl 07272383)
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Alekseev, A. K.; Bondarev, A. E.
Estimation of the distance between true and numerical solutions. (English. Russian original) Zbl 1425.76171
Comput. Math. Math. Phys. 59, No. 6, 857-863 (2019); translation from Zh. Vychisl. Mat. Mat. Fiz. 59, No. 6, 913-919 (2019).
MSC:  76M20 35Q31 65N06
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\textit{A. K. Alekseev} and \textit{A. E. Bondarev}, Comput. Math. Math. Phys. 59, No. 6, 857--863 (2019; Zbl 1425.76171); translation from Zh. Vychisl. Mat. Mat. Fiz. 59, No. 6, 913--919 (2019)
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Penenko, V. V.; Penenko, A. V.; Tsvetova, E. A.; Gochakov, A. V.
Methods for studying the sensitivity of air quality models and inverse problems of geophysical hydrothermodynamics. (English. Russian original) Zbl 1418.86007
J. Appl. Mech. Tech. Phys. 60, No. 2, 392-399 (2019); translation from Prikl. Mekh. Tekh. Fiz. 60, No. 2, 238-246 (2019).
MSC:  86A22 49N45
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\textit{V. V. Penenko} et al., J. Appl. Mech. Tech. Phys. 60, No. 2, 392--399 (2019; Zbl 1418.86007); translation from Prikl. Mekh. Tekh. Fiz. 60, No. 2, 238--246 (2019)
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Sanguinetti, Guido (ed.); Huynh-Thu, Vân Anh (ed.)
Gene regulatory networks. Methods and protocols. (English) Zbl 1417.92005
Methods in Molecular Biology 1883. New York, NY: Humana Press (ISBN 978-1-4939-8881-5/hbk; 978-1-4939-8882-2/ebook). xi, 430 p. (2019).
Reviewer: Irina Ioana Mohorianu (Oxford)
MSC:  92-06 92C42 92C40 92-08
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\textit{G. Sanguinetti} (ed.) and \textit{V. A. Huynh-Thu} (ed.), Gene regulatory networks. Methods and protocols. New York, NY: Humana Press (2019; Zbl 1417.92005)
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Hirao, Masatake
QMC designs and determinantal point processes. (English) Zbl 1405.60068
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 (ISBN 978-3-319-91435-0/hbk; 978-3-319-91436-7/ebook). Springer Proceedings in Mathematics & Statistics 241, 331-343 (2018).
MSC:  60G55 65C05
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\textit{M. Hirao}, in: 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. 331--343 (2018; Zbl 1405.60068)
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Matsoukas, Themis
Generalized statistical thermodynamics. Thermodynamics of probability distributions and stochastic processes. (English) Zbl 1426.82001
Understanding Complex Systems; Springer: Complexity. Cham: Springer (ISBN 978-3-030-04148-9/hbk; 978-3-030-04149-6/ebook). xxi, 363 p. (2018).
Reviewer: Piotr Garbaczewski (Opole)
MSC:  82-02 82B30 82B24 60K40 60C05 62H30 82B26 82B31 82B35 82B43 80M30 97K20 97K60
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\textit{T. Matsoukas}, Generalized statistical thermodynamics. Thermodynamics of probability distributions and stochastic processes. Cham: Springer (2018; Zbl 1426.82001)
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Niven, Robert K.; Schlegel, Michael; Abel, Markus; Waldrip, Steven H.; Guimera, Roger
Maximum entropy analysis of flow networks with structural uncertainty (graph ensembles). (English) Zbl 1397.62597
Polpo, Adriano (ed.) et al., Bayesian inference and maximum entropy methods in science and engineering. MaxEnt 37, Jarinu, Brazil, July 09–14, 2017. Cham: Springer (ISBN 978-3-319-91142-7/hbk; 978-3-319-91143-4/ebook). Springer Proceedings in Mathematics & Statistics 239, 261-274 (2018).
MSC:  62P30 62-09 94A17
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\textit{R. K. Niven} et al., in: Bayesian inference and maximum entropy methods in science and engineering. MaxEnt 37, Jarinu, Brazil, July 09--14, 2017. Cham: Springer. 261--274 (2018; Zbl 1397.62597)
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