Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Anthony Suen"'
Publikováno v:
Partial Differential Equations in Applied Mathematics, Vol 11, Iss , Pp 100848- (2024)
In literature, it is usually very difficult to investigate the analytical and numerical solutions of fractional integro-differential equations (FIDEs). In the current work, the solutions to linear and non-linear FIDEs and their systems have been anal
Externí odkaz:
https://doaj.org/article/e48d1922c65e4bf8af3a0ac8e1cf9345
Publikováno v:
AIMS Mathematics, Vol 8, Iss 6, Pp 13943-13983 (2023)
This article implements an efficient analytical technique within three different operators to investigate the solutions of some fractional partial differential equations and their systems. The generalized schemes of the proposed method are derived fo
Externí odkaz:
https://doaj.org/article/8c5647d3ef5048f1a3e7638375418267
Publikováno v:
Data Science Journal, Vol 15 (2016)
This retraction notice relates to the following article: Turek, D., Suen, A. & Clark, D., (2016). A Project-Based Case Study of Data Science Education. 'Data Science Journal'. 15, p.5. DOI: http://doi.org/10.5334/dsj-2016-005
Externí odkaz:
https://doaj.org/article/d42f028b85f6460f91f075fc32d367b0
Autor:
Anthony Suen
Publikováno v:
Electronic Journal of Differential Equations, Vol 2012, Iss 93,, Pp 1-7 (2012)
We prove the nonexistence of finite time self-similar singularities in an ideal viscoelastic flow in R^3. We exclude the occurrence of Leray-type self-similar singularities under suitable integrability conditions on velocity and deformation tensor. W
Externí odkaz:
https://doaj.org/article/47ea1e969f74440788eb126ffc880851
Autor:
Anthony Suen, Stefanie Ebeling
Publikováno v:
The Cambridge Handbook of Undergraduate Research ISBN: 9781108869508
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94ffc6be576dc824ddde8eed4ebd0b10
https://doi.org/10.1017/9781108869508.032
https://doi.org/10.1017/9781108869508.032
Publikováno v:
Mathematical Inequalities & Applications. :1509-1528
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71a2104efa419ed141af6e3adfd9af2a
https://doi.org/10.7153/mia-2020-23-108
https://doi.org/10.7153/mia-2020-23-108
Autor:
Anthony Suen
Publikováno v:
Discrete & Continuous Dynamical Systems - A. 40:1775-1798
We study the low-energy solutions to the 3D compressible Navier-Stokes-Poisson equations. We first obtain the existence of smooth solutions with small \begin{document}$ L^2 $\end{document} -norm and essentially bounded densities. No smallness assumpt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61f188e14bfe2369d330721e41175e9b
https://doi.org/10.3934/dcds.2020093
https://doi.org/10.3934/dcds.2020093
Autor:
Anthony Suen
We address the global-in-time existence, stability and long time behaviour of weak solutions of the three-dimensional compressible Navier-Stokes equations with potential force. We show the details of the $\alpha$-dependence of different smoothing rat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13295fd63191ef0ee99efa0a0f2f4ecb
Autor:
Anthony Suen
We prove the existence and uniqueness of weak solutions of the three dimensional compressible magnetohydrodynamics (MHD) equations. We first obtain the existence of weak solutions with small L 2 -norm which may display codimension-one discontinuities
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15c208b0b23400db9c0df5f782d92000
http://arxiv.org/abs/2011.05651
http://arxiv.org/abs/2011.05651
Publikováno v:
SIGCSE
The workshop will allow participants to gain experience with a series of innovations developed at UC Berkeley that have enabled the teaching of undergraduate data science at scale to students from all backgrounds. Rather than beginning with establish
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3af64851ac50c06436da94ab5c08ad5
https://doi.org/10.1145/3328778.3367015
https://doi.org/10.1145/3328778.3367015