2020
DOI: 10.1016/j.anucene.2020.107670
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Finite difference Jacobian based Newton-Krylov coupling method for solving multi-physics nonlinear system of nuclear reactor

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Cited by 15 publications
(2 citation statements)
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“…Since the arrangements to the coupled reaction-diffusion models inspected in this ponder are naturally chaotic, the appropriation of exactness strategies for established consistency, as well as focalize highlights, appears to be critical [9], [36]. In this way, the researcher may observe between the start of numerical vulnerability as well as chaos, which could be a veritable property in terms of a ceaseless show, by utilizing the finitedifference strategies given in this consider with caution [37]- [40].…”
Section: Numerical Solution Of Reaction-diffusion Model a Motivationmentioning
confidence: 95%
“…Since the arrangements to the coupled reaction-diffusion models inspected in this ponder are naturally chaotic, the appropriation of exactness strategies for established consistency, as well as focalize highlights, appears to be critical [9], [36]. In this way, the researcher may observe between the start of numerical vulnerability as well as chaos, which could be a veritable property in terms of a ceaseless show, by utilizing the finitedifference strategies given in this consider with caution [37]- [40].…”
Section: Numerical Solution Of Reaction-diffusion Model a Motivationmentioning
confidence: 95%
“…The contribution of the new flux to the global Jacobian matrix is computed with the AD tool Tapenade [15], an open source algorithm developed by the Institut National de Recherche en Sciences et Technologies du Numérique (INRIA). AD guarantees that every derivative will be mathematically exact and will not suffer any truncation error, which is typical of the finite differences (FD) approach [40]. In fact, every derivative is obtained with a symbolic optimized differentiation of all the lines of a source code, to generate a new program that will contain the calculations for both the original outputs and their derivatives.…”
Section: Numerical Fluxes and Boundary Conditionsmentioning
confidence: 99%