A Progressive Reduced Basis/Empirical Interpolation Method for Nonlinear Parabolic Problems-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A Progressive Reduced Basis/Empirical Interpolation Method for Nonlinear Parabolic Problems

Published:2018-01 Issue:5 Volume:40 Page:A2930-A2955
ISSN:1064-8275
Container-title:SIAM Journal on Scientific Computing
language:en
Short-container-title:SIAM J. Sci. Comput.

Author:

Benaceur Amina,Ehrlacher Virginie,Ern Alexandre,Meunier Sébastien

Funder

Êlectricité de France

Association Nationale de la Recherche et de la Technologie

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,Computational Mathematics

Link

https://epubs.siam.org/doi/pdf/10.1137/17M1149638

Reference14 articles.

1. An ‘empirical interpolation’ method: application to efficient reduced-basis discretization of partial differential equations

2. Simultaneous empirical interpolation and reduced basis method for non-linear problems

3. Reduced Basis Approximation for Nonlinear Parametrized Evolution Equations based on Empirical Operator Interpolation

4. CERTIFIED REDUCED BASIS METHODS FOR NONAFFINE LINEAR TIME-VARYING AND NONLINEAR PARABOLIC PARTIAL DIFFERENTIAL EQUATIONS

5. Efficient reduced-basis treatment of nonaffine and nonlinear partial differential equations

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Accelerated construction of projection-based reduced-order models via incremental approaches;Advanced Modeling and Simulation in Engineering Sciences;2024-04-18

2. Multi‐fidelity error estimation accelerates greedy model reduction of complex dynamical systems;International Journal for Numerical Methods in Engineering;2023-09-07

3. A modelling framework for efficient reduced order simulations of parametrised lithium-ion battery cells;European Journal of Applied Mathematics;2022-11-29

4. A hyper-reduced MAC scheme for the parametric Stokes and Navier-Stokes equations;Journal of Computational Physics;2022-10

5. A Training Set Subsampling Strategy for the Reduced Basis Method;Journal of Scientific Computing;2021-11-06

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3