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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
Publikováno v:
SIAM Journal on Scientific Computing. 44:A3536-A3559
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
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
Publikováno v:
SIAM Journal on Scientific Computing. 41:A3552-A3575
Fractional Laplace equations are becoming important tools for mathematical modeling and prediction. Recent years have shown much progress in developing accurate and robust algorithms to numerically...
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