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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