Titlebook: BERRU Predictive Modeling; Best Estimate Result Dan Gabriel Cacuci Book 2019 Springer-Verlag GmbH Germany, part of Springer Nature 2019 Cal

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Engaging

https://doi.org/10.1007/978-3-662-58395-1Calibration; Sensitivity; experiment; uncertainty; numerical discretization errors; quality control, reli

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https://doi.org/10.1007/978-3-642-24458-2at is representative for material separations and international safeguards activities. This dissolver model comprises eight active compartments in which the time-dependent nonlinear differential equations modeling the physical and chemical processes comprise sixteen time-dependent spatially dependen

Flawless

https://doi.org/10.1007/978-3-642-24458-2deling of . (as opposed to “single”) multi-physics systems. The BERRU-CMS methodology is build on the same principles as the BERRU-SMS predictive modeling methodology that was presented in Chapter 1. Thus, the maximum entropy principle is used to construct an optimal approximation of the unknown a p

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Anders E. W. Jarfors,Salem Seifeddineadigm neutron diffusion model of a one-dimensional pool of water containing distributed neutron sources (e.g., spent fuel rods), and continuing with the OECD/NEA (ICSBEP 2010) benchmarks Godiva (a bare uranium sphere), Jezebel-239 and Jezebel-240 (bare plutonium spheres). The paradigm neutron diffus

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