Hauptseite > Publikationsdatenbank > Numerical Solutions of Fractional Nonlinear Advection-Reaction-Diffusion Equations > print |
001 | 851758 | ||
005 | 20210129235013.0 | ||
037 | _ | _ | |a FZJ-2018-05282 |
100 | 1 | _ | |a Vorderwülbecke, Sophia |0 P:(DE-Juel1)159531 |b 0 |e Corresponding author |
245 | _ | _ | |a Numerical Solutions of Fractional Nonlinear Advection-Reaction-Diffusion Equations |f - 2018-08-28 |
260 | _ | _ | |c 2018 |
300 | _ | _ | |a v, 60 p. |
336 | 7 | _ | |a Output Types/Supervised Student Publication |2 DataCite |
336 | 7 | _ | |a Thesis |0 2 |2 EndNote |
336 | 7 | _ | |a MASTERSTHESIS |2 BibTeX |
336 | 7 | _ | |a masterThesis |2 DRIVER |
336 | 7 | _ | |a Master Thesis |b master |m master |0 PUB:(DE-HGF)19 |s 1542262843_15147 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a SUPERVISED_STUDENT_PUBLICATION |2 ORCID |
502 | _ | _ | |a Masterarbeit, The University of Wisconsin-Milwaukee, 2018 |c The University of Wisconsin-Milwaukee |b Masterarbeit |d 2018 |
520 | _ | _ | |a In this thesis nonlinear differential equations containing advection, reaction and diffusionterms are solved numerically, where the diffusion term is modelled by a fractional derivative.One of the methods employed is a finite difference method for temporal as well as spatialdiscretization. Furthermore, exponential time differencing schemes under consideration ofdifferent matrix exponential approximations are exploited for the temporal discretization,whereas finite differences are used for the spatial approximation. The schemes are applied tothe homogeneous Burgers, Burgers-Fisher and Burgers-Huxley equation and compared withrespect to convergence and efficiency in a numerical investigation. |
536 | _ | _ | |a 511 - Computational Science and Mathematical Methods (POF3-511) |0 G:(DE-HGF)POF3-511 |c POF3-511 |f POF III |x 0 |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/851758/files/Vorderwuelbecke-thesis-1.pdf |y Restricted |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/851758/files/Vorderwuelbecke-thesis-1.pdf?subformat=pdfa |x pdfa |y Restricted |
909 | C | O | |o oai:juser.fz-juelich.de:851758 |p VDB |
910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)159531 |
913 | 1 | _ | |a DE-HGF |b Key Technologies |1 G:(DE-HGF)POF3-510 |0 G:(DE-HGF)POF3-511 |2 G:(DE-HGF)POF3-500 |v Computational Science and Mathematical Methods |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |l Supercomputing & Big Data |
914 | 1 | _ | |y 2018 |
920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
980 | _ | _ | |a master |
980 | _ | _ | |a VDB |
980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
980 | _ | _ | |a UNRESTRICTED |
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