Applied Mathematics and Mechanics (English Edition) ›› 2004, Vol. 25 ›› Issue (5): 573-579.

• 论文 • 上一篇    下一篇

MULTIRESOLUTION SYMPLECTIC SCHEME FOR WAVE PROPAGATION IN COMPLEX MEDIA

马坚伟, 杨慧珠   

  1. Department of Engineering Mechanics, Tsinghua University, Beijing 100084, P.R.China
  • 收稿日期:2002-09-11 修回日期:2003-09-26 出版日期:2004-05-18 发布日期:2004-05-18
  • 通讯作者: YANG Hui-zhu(Tel:+86-10-62783149;Fax:+86-10-62781824;E-mail:yhz@mail.tsinghua.edu.cn) E-mail:yhz@mail.tsinghua.edu.cn
  • 基金资助:
    the National Natural Science Foundation of China(19872037)

MULTIRESOLUTION SYMPLECTIC SCHEME FOR WAVE PROPAGATION IN COMPLEX MEDIA

MA Jian-wei, YANG Hui-zhu   

  1. Department of Engineering Mechanics, Tsinghua University, Beijing 100084, P.R.China
  • Received:2002-09-11 Revised:2003-09-26 Online:2004-05-18 Published:2004-05-18
  • Supported by:
    the National Natural Science Foundation of China(19872037)

摘要: A fast adaptive symplectic algorithm named Multiresolution Symplectic Scheme (MSS) was first presented to solve the problem of the wave propagation (WP) in complex media, using the symplectic scheme and Daubechies’ compactly supported orthogonal wavelet transform to respectively discretise the time and space dimension of wave equation. The problem was solved in multiresolution symplectic geometry space under the conservative Hamiltonian system rather than the traditional Lagrange system. Due to the fascinating properties of the wavelets and symplectic scheme, MSS is a promising method because of little computational burden, robustness and reality of long-time simulation.

Abstract: A fast adaptive symplectic algorithm named Multiresolution Symplectic Scheme (MSS) was first presented to solve the problem of the wave propagation (WP) in complex media, using the symplectic scheme and Daubechies’ compactly supported orthogonal wavelet transform to respectively discretise the time and space dimension of wave equation. The problem was solved in multiresolution symplectic geometry space under the conservative Hamiltonian system rather than the traditional Lagrange system. Due to the fascinating properties of the wavelets and symplectic scheme, MSS is a promising method because of little computational burden, robustness and reality of long-time simulation.

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