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1. A reduced-order finite volume element formulation based on POD method and numerical simulation for two-dimensional solute transport problems EI SCIE SCOPUS 期刊论文 认领

作者:Luo, ZD;Li, H;Sun, P;An, J;Navon, IM

作者全称:Luo, Zhendong;Li, Hong;Sun, Ping;An, Jing;Navon, Ionel Michael

作者机构:[Luo, Zhendong] North China Elect Power Univ, Sch Math & Phys, Beijing 102206, Peoples R China.; [Li, Hong] Inner Mongolia Univ, Sch Math Sci, Hohho 更多

第一作者:Luo, Zhendong

通讯作者:Luo, Z.(zhdluo@ncepu.edu.cn)

通讯作者地址:Luo, ZD (reprint author), North China Elect Power Univ, Sch Math & Phys, Beijing 102206, Peoples R China.

来源:MATHEMATICS AND COMPUTERS IN SIMULATION,2013,Vol.89

基金:National Science Foundation of China [11061009, 11061021]; Natural; Science Foundation of Hebei Province [A2010001663]; Science Research; Program of Guizhou [GJ[2011]2367]; Science Research Program of Inner; Mongolia Advanced Education [NJ10006]; National Science Foundation of; USA under Grant CMG [0931198]

JCR分区:COMPUTER SCIENCE, SOFTWARE ENGINEERING为Q2;MATHEMATICS, APPLIED为Q1;COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS为Q3

中科院分区:大类数学3区;小类计算机:跨学科应用4区;小类计算机:软件工程3区;小类应用数学3区

(JCR)当年影响因子:1.476

(JCR)5年影响因子:1.475

SCOPUS被引频次:3

ESI学科:ENGINEERING

教育部学科:数学,软件工程,控制科学与工程,计算机科学与技术

关键词:Proper orthogonal decomposition; Finite volume element formulation;; Error estimate; Two-dimensional solute transport problems; Numerical; simulation

摘要:Proper orthogonal decomposition (POD) method has been successfully used in the reduced-order modeling of complex systems. In this paper, we extend the 更多

更新时间:Mar 28, 2019
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