Academic literature on the topic 'Reaction-Advection-Diffusion'

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Journal articles on the topic "Reaction-Advection-Diffusion"

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Martí, A. C., F. Sagués, and J. M. Sancho. "Reaction-diffusion fronts under stochastic advection." Physical Review E 56, no. 2 (1997): 1729–32. http://dx.doi.org/10.1103/physreve.56.1729.

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Nevins, Thomas D., and Douglas H. Kelley. "Front tracking for quantifying advection-reaction-diffusion." Chaos: An Interdisciplinary Journal of Nonlinear Science 27, no. 4 (2017): 043105. http://dx.doi.org/10.1063/1.4979668.

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Bezuglyy, Andriy, and Yuan Lou. "Reaction–diffusion models with large advection coefficients." Applicable Analysis 89, no. 7 (2010): 983–1004. http://dx.doi.org/10.1080/00036810903479723.

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Kim, Theodore, and Ming Lin. "Stable advection-reaction-diffusion with arbitrary anisotropy." Computer Animation and Virtual Worlds 18, no. 4-5 (2007): 329–38. http://dx.doi.org/10.1002/cav.187.

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Appadu, Appanah Rao. "Performance of UPFD scheme under some different regimes of advection, diffusion and reaction." International Journal of Numerical Methods for Heat & Fluid Flow 27, no. 7 (2017): 1412–29. http://dx.doi.org/10.1108/hff-01-2016-0038.

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Purpose An unconditionally positive definite finite difference scheme termed as UPFD has been derived to approximate a linear advection-diffusion-reaction equation which models exponential travelling waves and the coefficients of advection, diffusion and reactive terms have been chosen as one (Chen-Charpentier and Kojouharov, 2013). In this work, the author tests UPFD scheme under some other different regimes of advection, diffusion and reaction. The author considers the case when the coefficient of advection, diffusion and reaction are all equal to one and also cases under which advection or
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Sari, Murat, and Huseyin Tunc. "Finite element based hybrid techniques for advection-diffusion-reaction processes." An International Journal of Optimization and Control: Theories & Applications (IJOCTA) 8, no. 2 (2018): 127–36. http://dx.doi.org/10.11121/ijocta.01.2018.00452.

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In this paper, numerical solutions of the advection-diffusion-reaction (ADR) equation are investigated using the Galerkin, collocation and Taylor-Galerkin cubic B-spline finite element method in strong form of spatial elements using an ?-family optimization approach for time variation. The main objective of this article is to capture effective results of the finite element techniques with B-spline basis functions under the consideration of the ADR processes. All produced results are compared with the exact solution and the literature for various versions of problems including pure advection, p
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Cao, Li, and Zhanxin Ma. "Numerical solution of a class of advection-reaction-diffusion system." Thermal Science 23, no. 3 Part A (2019): 1503–11. http://dx.doi.org/10.2298/tsci180803217c.

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In this article, the barycentric interpolation collocation methods is proposed for solving a class of non-linear advection-reaction-diffusion system. Compared with other methods, the numerical experiment shows the barycentric interpolation collocation method is a high precision method to solve the advection- reaction-diffusion system.
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Heße, F., F. A. Radu, M. Thullner, and S. Attinger. "Upscaling of the advection–diffusion–reaction equation with Monod reaction." Advances in Water Resources 32, no. 8 (2009): 1336–51. http://dx.doi.org/10.1016/j.advwatres.2009.05.009.

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Vladimirova, Natalia, V. Gregory Weirs, and Lenya Ryzhik. "Flame capturing with an advection–reaction–diffusion model." Combustion Theory and Modelling 10, no. 5 (2006): 727–47. http://dx.doi.org/10.1080/13647830500464146.

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Ayuso, Blanca, and L. Donatella Marini. "Discontinuous Galerkin Methods for Advection-Diffusion-Reaction Problems." SIAM Journal on Numerical Analysis 47, no. 2 (2009): 1391–420. http://dx.doi.org/10.1137/080719583.

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Dissertations / Theses on the topic "Reaction-Advection-Diffusion"

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Furtado, Kalli. "Mesoscopic simulations of reaction-diffusion-advection problems." Thesis, University of Oxford, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.442953.

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Hambrock, Richard. "Evolution of conditional dispersal a reaction-diffusion-advection approach /." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1195685356.

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Bezuglyy, Andriy. "Reaction-diffusion-advection models for single and multiple species." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1253646281.

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Ramalho, Jairo Valões de Alencar. "New enriched element methods for unsteady reaction-advection-diffusion models." Laboratório Nacional de Computação Científica, 2005. http://www.lncc.br/tdmc/tde_busca/arquivo.php?codArquivo=81.

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Several problems in physics and engineering are modeled by reaction-advection-diffusion (RAD) equations. However, when the diffusive terms are small compared with the other ones, these problems can become difficult to solve numerically. Besides, formulating the unsteady version of these models in a semi-discrete fashion, it can be interpreted that the overall diffusivity gets smaller as the time step decreases. To overcome these drawbacks, this thesis considers the development of Galerkin (or Petrov-Galerkin) finite element methods based on approximation spaces enriched by residual-free bubble
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Turk, Onder. "The Finite Element Method Solution Of Reaction-diffusion-advection Equations In Air Pollution." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/3/12609987/index.pdf.

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We consider the reaction-diffusion-advection (RDA) equations resulting in air pollution mod- eling problems. We employ the finite element method (FEM) for solving the RDA equations in two dimensions. Linear triangular finite elements are used in the discretization of problem domains. The instabilities occuring in the solution when the standard Galerkin finite element method is used, in advection or reaction dominated cases, are eliminated by using an adap- tive stabilized finite element method. In transient problems the unconditionally stable Crank- Nicolson scheme is used for the temporal dis
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Knaub, Karl R. "On the asymptotic behavior of internal layer solutions of advection-diffusion-reaction equations /." Thesis, Connect to this title online; UW restricted, 2001. http://hdl.handle.net/1773/6772.

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Fu, Xiaoming. "Reaction-diffusion Equations with Nonlinear and Nonlocal Advection Applied to Cell Co-culture." Thesis, Bordeaux, 2019. http://www.theses.fr/2019BORD0216/document.

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Cette thèse est consacrée à l’étude d’une classe d’équations de réaction-diffusion avec advection non-locale. La motivation vient du mouvement cellulaire avec le phénomène de ségrégation observé dans des expérimentations de co-culture cellulaire. La première partie de la thèse développe principalement le cadre théorique de notre modèle, à savoir le caractère bien posé du problème et le comportement asymptotique des solutions dans les cas d'une ou plusieurs espèces.Dans le Chapitre 1, nous montrons qu'une équation scalaire avec un noyau non-local ayant la forme d'une fonction étagée, peut indui
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Bonneu, Adrien. "Développement d’un modèle continu d’enracinement, basé sur l’agrégation de l’architecture racinaire des plantes." Thesis, Montpellier 2, 2011. http://www.theses.fr/2011MON20109/document.

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La modélisation et la simulation de la croissance racinaire des plantes en relation avec l'eau et le transfert de nutriments dans le sol constituent un défi majeur permettant des applications dans diverses thématiques de recherche. Les modèles de croissance racinaire ont été classés en SM (Structural Models), FSM (Functional Structural Models) et DBM (Density Based Models). Les modèles basés sur des représentations explicites de la structure du système racinaire simulent des systèmes de manière réaliste. Les modèles basés sur des densités agrègent le développement racinaire et décrivent l'évol
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Wang, Yan. "Persistence and Extinction Dynamics in Reaction-Diffusion-Advection Stream Population Model with Allee Effect Growth." W&M ScholarWorks, 2019. https://scholarworks.wm.edu/etd/1563899009.

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The question how aquatic populations persist in rivers when individuals are constantly lost due to downstream drift has been termed the ``drift paradox." Reaction-diffusion-advection models have been used to describe the spatial-temporal dynamics of stream population and they provide some qualitative explanations to the paradox. Here random undirected movement of individuals in the environment is described by passive diffusion, and an advective term is used to describe the directed movement in a river caused by the flow. In this work, the effect of spatially varying Allee effect growth rate on
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Emken, Natalie [Verfasser], and Christian [Akademischer Betreuer] Engwer. "A coupled bulk-surface reaction-diffusion-advection model for cell polarization / Natalie Emken ; Betreuer: Christian Engwer." Münster : Universitäts- und Landesbibliothek Münster, 2016. http://d-nb.info/1141906783/34.

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Books on the topic "Reaction-Advection-Diffusion"

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Jan, Verwer, ed. Numerical Solution of Time-Dependent Advection-Diffusion-Reaction Equations. Springer Berlin Heidelberg, 2003.

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Hundsdorfer, Willem, and Jan Verwer. Numerical Solution of Time-Dependent Advection-Diffusion-Reaction Equations. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-09017-6.

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1946-, Verwer J. G., ed. Numerical solution of time-dependent advection-diffusion-reaction equations. Springer, 2003.

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Adam, M. Shiham. Use of neural networks with advection-diffusion-reaction models to estimate large-scale movements of Skipjack tuna from tagging data. Pelagic Fisheries Research Program, University of Hawaii at Manoa, 2004.

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Sidilkover, D. Unification of some advection schemes in two dimensions. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1995.

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G, Ostrovskii Alexander, ed. Advection and diffusion in random media: Implications for sea surface temperature anomalies. Kluwer Academic, 1997.

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Abarbanel, Saul S. Multi-dimensional asymptotically stable finite difference schemes for the advection-diffusion equation. National Aeronautics and Space Administration, Langley Research Center, 1996.

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Hundsdorfer, Willem, and Jan G. Verwer. Numerical Solutions of Time-Dependent Advection-Diffusion-Reaction Equations. Springer, 2003.

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1941-, Vreugdenhil Cornelis Boudewijn, and Koren Barry, eds. Numerical methods for advection--diffusion problems. Vieweg, 1993.

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Adi, Ditkowski, and Langley Research Center, eds. Multi-dimensional asymptotically stable finite difference schemes for the advection-diffusion equation. National Aeronautics and Space Administration, Langley Research Center, 1996.

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Book chapters on the topic "Reaction-Advection-Diffusion"

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Clairambault, Jean. "Reaction-Diffusion-Advection Equation." In Encyclopedia of Systems Biology. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_697.

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Di Pietro, Daniele Antonio, and Jérôme Droniou. "Variable Diffusion and Diffusion–Advection–Reaction." In The Hybrid High-Order Method for Polytopal Meshes. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37203-3_3.

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Formaggia, Luca, Fausto Saleri, and Alessandro Veneziani. "Advection-diffusion-reaction (ADR) problems." In UNITEXT. Springer Milan, 2012. http://dx.doi.org/10.1007/978-88-470-2412-0_4.

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Hundsdorfer, Willem, and Jan Verwer. "Advection-Diffusion Discretizations." In Numerical Solution of Time-Dependent Advection-Diffusion-Reaction Equations. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-09017-6_3.

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Amattouch, M. R., and H. Belhadj. "An Heuristic Scheme for a Reaction Advection Diffusion Equation." In Heuristics for Optimization and Learning. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58930-1_15.

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Hundsdorfer, Willem, and Jan Verwer. "Basic Concepts and Discretizations." In Numerical Solution of Time-Dependent Advection-Diffusion-Reaction Equations. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-09017-6_1.

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Hundsdorfer, Willem, and Jan Verwer. "Time Integration Methods." In Numerical Solution of Time-Dependent Advection-Diffusion-Reaction Equations. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-09017-6_2.

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Hundsdorfer, Willem, and Jan Verwer. "Splitting Methods." In Numerical Solution of Time-Dependent Advection-Diffusion-Reaction Equations. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-09017-6_4.

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Hundsdorfer, Willem, and Jan Verwer. "Stabilized Explicit Runge-Kutta Methods." In Numerical Solution of Time-Dependent Advection-Diffusion-Reaction Equations. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-09017-6_5.

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Zhang, Zhongqiang, and George Em Karniadakis. "Wiener chaos methods for linear stochastic advection-diffusion-reaction equations." In Numerical Methods for Stochastic Partial Differential Equations with White Noise. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57511-7_6.

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Conference papers on the topic "Reaction-Advection-Diffusion"

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SOLOMON, T. H., M. S. PAOLETTI, and M. E. SCHWARTZ. "EXPERIMENTAL STUDIES OF ADVECTION-REACTION-DIFFUSION SYSTEMS." In Proceedings of the CCT '07. WORLD SCIENTIFIC, 2008. http://dx.doi.org/10.1142/9789812818805_0012.

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Valli, Andrea, Lucia Catabriga, Isaac Santos, Regina Almeida, and Alvaro Coutinho. "Multiscale Dynamic Diffusion Method to Solve Advection-Diffusion-Reaction Problems." In XXXVI Iberian Latin American Congress on Computational Methods in Engineering. ABMEC Brazilian Association of Computational Methods in Engineering, 2015. http://dx.doi.org/10.20906/cps/cilamce2015-0251.

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Borri, Alessandro, Valerio Cusimano, Simona Panunzi, and Andrea De Gaetano. "Multi-agent system modeling of advection-diffusion-reaction equations." In 2019 18th European Control Conference (ECC). IEEE, 2019. http://dx.doi.org/10.23919/ecc.2019.8795868.

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Al-Khateeb, Ashraf, and Joseph Powers. "Analysis of the Reaction-Advection-Diffusion Spectrum Oflaminar Premixed Flames." In 48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition. American Institute of Aeronautics and Astronautics, 2010. http://dx.doi.org/10.2514/6.2010-954.

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Borggaard, Jeff, and Alan Lattimer. "POD models for positive fields in advection-diffusion-reaction equations." In 2017 American Control Conference (ACC). IEEE, 2017. http://dx.doi.org/10.23919/acc.2017.7963536.

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Bolognani, Saverio, Andrey Smyshlyaev, and Miroslav Krstic. "Adaptive output feedback control for complex-valued reaction-advection-diffusion systems." In 2008 American Control Conference (ACC '08). IEEE, 2008. http://dx.doi.org/10.1109/acc.2008.4586616.

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Wang, Shanshan, Jie Qi, and Jianan Fang. "Control of 2-D reaction-advection-diffusion PDE with input delay." In 2017 Chinese Automation Congress (CAC). IEEE, 2017. http://dx.doi.org/10.1109/cac.2017.8244067.

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Anthonissen, M. J. H., J. H. M. ten Thije Boonkkamp, Theodore E. Simos, George Psihoyios, and Ch Tsitouras. "A Compact High Order Finite Volume Scheme for Advection-Diffusion-Reaction Equations." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS: International Conference on Numerical Analysis and Applied Mathematics 2009: Volume 1 and Volume 2. AIP, 2009. http://dx.doi.org/10.1063/1.3241484.

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Gonzalez-Pinto, S., S. Perez-Rodriguez, Theodore E. Simos, George Psihoyios, and Ch Tsitouras. "A Time-Adaptive Integrator Based on Radau Methods for Advection Diffusion Reaction PDEs." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS: International Conference on Numerical Analysis and Applied Mathematics 2009: Volume 1 and Volume 2. AIP, 2009. http://dx.doi.org/10.1063/1.3241567.

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Liu, Bai-Nan, Driss Boutat, Da-Yan Liu, and Yang Tian. "Backstepping Output Feedback Control for a Class of Coupled Reaction-Advection-Diffusion Systems with the Same Diffusion." In 2018 37th Chinese Control Conference (CCC). IEEE, 2018. http://dx.doi.org/10.23919/chicc.2018.8483777.

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Reports on the topic "Reaction-Advection-Diffusion"

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Karniadakis, George Em. Final Technical Report - Stochastic Analysis of Advection-Diffusion-reaction Systems with Applications to Reactive Transport in Porous Media - DE-FG02-07ER24818. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1122803.

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