Zobrazeno 1 - 10
of 47
pro vyhledávání: '"YANLAI CHEN"'
Publikováno v:
Abstract and Applied Analysis, Vol 2015 (2015)
The authors discuss multiple solutions for the nth-order singular boundary value problems of nonlinear integrodifferential equations in Banach spaces by means of the fixed point theorem of cone expansion and compression. An example for infinite syste
Externí odkaz:
https://doaj.org/article/feaabe1706424fdca67347488eb532fd
Autor:
Yanlai Chen
Publikováno v:
Abstract and Applied Analysis, Vol 2013 (2013)
The boundary value problems of a class of th-order nonlinear integrodifferential equations of mixed type in Banach space are considered, and the existence of three solutions is obtained by using the fixed-point index theory.
Externí odkaz:
https://doaj.org/article/bfc686f433e24940a355f545418052b5
Publikováno v:
SIAM Journal on Numerical Analysis. 60:3078-3098
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d51fdec79fd24fbdacd57791ac8b03c3
https://doi.org/10.1137/22m1470827
https://doi.org/10.1137/22m1470827
Publikováno v:
SIAM Journal on Scientific Computing. 44:A3536-A3559
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d38dfb823a3ec77aa8903add9d10b463
https://doi.org/10.1137/21m1463720
https://doi.org/10.1137/21m1463720
Publikováno v:
Multiscale Modeling & Simulation; 2024, Vol. 22 Issue 1, p639-666, 28p
Publikováno v:
Journal of Scientific Computing. 81:1210-1239
In this paper, we propose, analyze, and implement a new reduced basis method (RBM) tailored for the linear (ordinary and partial) differential equations driven by arbitrary (i.e. not necessarily Gaussian) types of noise. There are four main ingredien
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca7fe43eff0a8ce4d87235f9f2008331
https://doi.org/10.1007/s10915-019-00976-5
https://doi.org/10.1007/s10915-019-00976-5
Publikováno v:
Computers & Mathematics with Applications. 77:1963-1979
The Reduced Basis Method (RBM) is a rigorous model reduction approach for solving parametrized partial differential equations. It identifies a low-dimensional subspace for approximation of the parametric solution manifold that is embedded in high-dim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74f37fc6cf1bf894ce1b1e65184426a2
https://doi.org/10.1016/j.camwa.2018.11.032
https://doi.org/10.1016/j.camwa.2018.11.032
Publikováno v:
SIAM Journal on Scientific Computing; 2022, Vol. 44 Issue 6, pA3536-A3559, 24p
The need for accelerating the repeated solving of certain parametrized systems motivates the development of more efficient reduced order methods. The classical reduced basis method is popular due to an offline-online decomposition and a mathematicall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d24c47adc938081c843f7ec801f14868
The task of repeatedly solving parametrized partial differential equations (pPDEs) in, e.g. optimization or interactive applications, makes it imperative to design highly efficient and equally accurate surrogate models. The reduced basis method (RBM)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::432b36b7316e22c9b236385181d62cd5
http://arxiv.org/abs/2009.04812
http://arxiv.org/abs/2009.04812