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Found 122 Documents (Results 1–100)

Quantitative methods of data analysis for the physical sciences and engineering. (English) Zbl 1401.62002

Cambridge: Cambridge University Press (ISBN 978-1-107-02976-7/hbk; 978-1-139-34256-8/ebook). xv, 614 p. (2018).
MSC:  62-01 62P12 62P35 97K80 62-07 00A06
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Coexistence in the face of uncertainty. (English) Zbl 1384.92053

Melnik, Roderick (ed.) et al., Recent progress and modern challenges in applied mathematics, modeling and computational science. Toronto: The Fields Institute for Research in the Mathematical Sciences; New York, NY: Springer (ISBN 978-1-4939-6968-5/hbk; 978-1-4939-6969-2/ebook). Fields Institute Communications 79, 349-384 (2017).
MSC:  92D25 60J20
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A study on performance improvement of natural synchronization scheme base on noise-induced synchronization theory. (English) Zbl 1305.34082

Mladenov, Valeri M. (ed.) et al., Nonlinear dynamics of electronic systems. 22nd international conference, NDES 2014, Albena, Bulgaria, July 4–6, 2014. Proceedings. Cham: Springer (ISBN 978-3-319-08671-2/pbk; 978-3-319-08672-9/ebook). Communications in Computer and Information Science 438, 22-29 (2014).
MSC:  34D06 34C15 34F05
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Dynamical systems driven by dichotomous noise. (English) Zbl 1319.60134

d’Onofrio, Alberto (ed.), Bounded noises in physics, biology, and engineering. New York, NY: Birkhäuser/Springer (ISBN 978-1-4614-7384-8/hbk; 978-1-4614-7385-5/ebook). Modeling and Simulation in Science, Engineering and Technology, 59-77 (2013).
MSC:  60H10
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Parameter and structure inference for nonlinear dynamical systems. (English) Zbl 1447.62019

Knuth, Kevin H. (ed.) et al., Bayesian inference and maximum entropy methods in science and engineering. 25th international workshop on Bayesian inference and maximum entropy methods in science and engineering, San Jose, California, USA, August 7–12, 2005. Melville, NY: American Institute of Physics (AIP). AIP Conf. Proc. 803, 112-120 (2005).
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