Legendre Gauss Spectral Collocation for the Helmholtz Equation on a Rectangle

A spectral collocation method with collocation at the Legendre Gauss points is discussed for solving the Helmholtz equation −Δu+κ(x,y)u=f(x,y) on a rectangle with the solution u subject to inhomogeneous Robin boundary conditions. The convergence analysis of the method is given in the case of u satis...

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Published inNumerical algorithms Vol. 36; no. 3; pp. 203 - 227
Main Authors Bialecki, Bernard, Karageorghis, Andreas
Format Journal Article
LanguageEnglish
Published New York Springer Nature B.V 01.07.2004
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ISSN1017-1398
1572-9265
DOI10.1023/B:NUMA.0000040056.52424.49

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Abstract A spectral collocation method with collocation at the Legendre Gauss points is discussed for solving the Helmholtz equation −Δu+κ(x,y)u=f(x,y) on a rectangle with the solution u subject to inhomogeneous Robin boundary conditions. The convergence analysis of the method is given in the case of u satisfying Dirichlet boundary conditions. A matrix decomposition algorithm is developed for the solution of the collocation problem in the case the coefficient κ(x,y) is a constant. This algorithm is then used in conjunction with the preconditioned conjugate gradient method for the solution of the spectral collocation problem with the variable coefficient κ(x,y).
AbstractList A spectral collocation method with collocation at the Legendre Gauss points is discussed for solving the Helmholtz equation −Δu+κ(x,y)u=f(x,y) on a rectangle with the solution u subject to inhomogeneous Robin boundary conditions. The convergence analysis of the method is given in the case of u satisfying Dirichlet boundary conditions. A matrix decomposition algorithm is developed for the solution of the collocation problem in the case the coefficient κ(x,y) is a constant. This algorithm is then used in conjunction with the preconditioned conjugate gradient method for the solution of the spectral collocation problem with the variable coefficient κ(x,y).
Author Karageorghis, Andreas
Bialecki, Bernard
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Cites_doi 10.1137/0732015
10.1016/S0021-9991(02)00064-5
10.1137/0723052
10.1137/0729056
10.1002/fld.1650080504
10.1007/978-3-642-84108-8
10.1137/S0036142999365060
10.1007/BFb0057337
10.1006/jcph.1998.6155
10.1007/978-3-540-85268-1
10.1016/S1570-8659(97)80003-8
10.1137/S0036142999365072
10.1137/0915089
10.1137/0911019
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References F. Auteri (5379559_CR2) 1999; 149
5379559_CR4
S.V. Parter (5379559_CR9) 2001; 39
J. Shen (5379559_CR14) 1994; 15
S.V. Parter (5379559_CR10) 2001; 39
C. Canuto (5379559_CR6) 1988
A. Quarteroni (5379559_CR12) 1994
J. Douglas Jr. (5379559_CR8) 1974
M.O. Deville (5379559_CR7) 1990; 11
C. Bernardi (5379559_CR3) 1988; 8
F. Auteri (5379559_CR1) 2003; 185
S.V. Parter (5379559_CR11) 1995; 32
A. Quarteroni (5379559_CR13) 1992; 29
5379559_CR15
C. Canuto (5379559_CR5) 1986; 23
References_xml – volume: 32
  start-page: 333
  year: 1995
  ident: 5379559_CR11
  publication-title: SIAM J. Numer. Anal.
  doi: 10.1137/0732015
– volume: 185
  start-page: 427
  year: 2003
  ident: 5379559_CR1
  publication-title: J. Comput. Phys.
  doi: 10.1016/S0021-9991(02)00064-5
– volume: 23
  start-page: 815
  year: 1986
  ident: 5379559_CR5
  publication-title: SIAM J. Numer. Anal.
  doi: 10.1137/0723052
– volume: 29
  start-page: 917
  year: 1992
  ident: 5379559_CR13
  publication-title: SIAM J. Numer. Anal.
  doi: 10.1137/0729056
– volume: 8
  start-page: 537
  year: 1988
  ident: 5379559_CR3
  publication-title: Internat. J. Numer. Methods Fluids
  doi: 10.1002/fld.1650080504
– volume-title: Spectral Methods in Fluid Dynamics
  year: 1988
  ident: 5379559_CR6
  doi: 10.1007/978-3-642-84108-8
– volume: 39
  start-page: 330
  year: 2001
  ident: 5379559_CR9
  publication-title: SIAM J. Numer. Anal.
  doi: 10.1137/S0036142999365060
– volume-title: Collocation Methods for Parabolic Equations in a Single Space Variable
  year: 1974
  ident: 5379559_CR8
  doi: 10.1007/BFb0057337
– ident: 5379559_CR15
– volume: 149
  start-page: 306
  year: 1999
  ident: 5379559_CR2
  publication-title: J. Comput. Phys.
  doi: 10.1006/jcph.1998.6155
– volume-title: Numerical Approximation of Partial Differential Equations
  year: 1994
  ident: 5379559_CR12
  doi: 10.1007/978-3-540-85268-1
– ident: 5379559_CR4
  doi: 10.1016/S1570-8659(97)80003-8
– volume: 39
  start-page: 348
  year: 2001
  ident: 5379559_CR10
  publication-title: SIAM J. Numer. Anal.
  doi: 10.1137/S0036142999365072
– volume: 15
  start-page: 1489
  year: 1994
  ident: 5379559_CR14
  publication-title: SIAM J. Sci. Comput.
  doi: 10.1137/0915089
– volume: 11
  start-page: 311
  year: 1990
  ident: 5379559_CR7
  publication-title: SIAM J. Sci. Statist. Comput.
  doi: 10.1137/0911019
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Snippet A spectral collocation method with collocation at the Legendre Gauss points is discussed for solving the Helmholtz equation −Δu+κ(x,y)u=f(x,y) on a rectangle...
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SubjectTerms Algorithms
Boundary conditions
Collocation methods
Conjugate gradient method
Dirichlet problem
Helmholtz equations
Title Legendre Gauss Spectral Collocation for the Helmholtz Equation on a Rectangle
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