Detail-preserving smoke simulation using an efficient high-order numerical scheme
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作者:
Jian ZHU
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机构:
School of Computer Science, Guangdong University of TechnologySchool of Computer Science, Guangdong University of Technology
Jian ZHU
[1
]
Zhuo YANG
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机构:
School of Computer Science, Guangdong University of TechnologySchool of Computer Science, Guangdong University of Technology
Zhuo YANG
[1
]
Hanqiu SUN
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机构:
Institute of Space and Earth Info.Science, the Chinese University of Hong KongSchool of Computer Science, Guangdong University of Technology
Hanqiu SUN
[2
]
Enhua WU
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机构:
State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences
Faculty of Science and Technology, University of MacauSchool of Computer Science, Guangdong University of Technology
Enhua WU
[3
,4
]
Ruichu CAI
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机构:
School of Computer Science, Guangdong University of TechnologySchool of Computer Science, Guangdong University of Technology
Ruichu CAI
[1
]
Zhifeng HAO
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机构:
School of Computer Science, Guangdong University of Technology
School of Mathematics and Big Data, Foshan UniversitySchool of Computer Science, Guangdong University of Technology
Zhifeng HAO
[1
,5
]
机构:
[1] School of Computer Science, Guangdong University of Technology
[2] Institute of Space and Earth Info.Science, the Chinese University of Hong Kong
[3] State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences
[4] Faculty of Science and Technology, University of Macau
[5] School of Mathematics and Big Data, Foshan University
CIP;
simulation;
Detail-preserving smoke simulation using an efficient high-order numerical scheme;
D O I:
暂无
中图分类号:
O35 [流体力学];
学科分类号:
080103 ;
080704 ;
摘要:
The advection step in Eulerian fluid simulation is prone to numerical dissipation [1], resulting in the loss of fluid details. Among the various attempts to develop accurate advection solvers, high-order advection schemes such as back and forth error compensation and correction (BFECC)[2] and MacCormack [3] are effective solutions. Complementary to high-order advection schemes are
机构:
ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai, Peoples R ChinaShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai, Peoples R China
Guo, Yulong
Liu, Xiaopei
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h-index: 0
机构:
ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai, Peoples R ChinaShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai, Peoples R China
Liu, Xiaopei
Xu, Xuemiao
论文数: 0引用数: 0
h-index: 0
机构:
South China Univ Technol, Sch Comp Sci & Engn, Guangzhou, Guangdong, Peoples R ChinaShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai, Peoples R China