A Numerical Method for Anisotropic Elliptic Boundary Value Problems - Dumett, Miguel
38,99 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in 6-10 Tagen
  • Broschiertes Buch

We present a new second-order stable Cartesian grid algorithm for solving anisotropic elliptic boundary value problems on bounded irregular domains in two dimensions (2D) and three dimensions (3D). The irregular domain is embedded in a uniform Cartesian mesh, but grid points outside of the domain are not used. Second- order local truncation error and the sufficient Gerschgorin criterion for stability impose some conditions to be satisfied by the weights of the discretization scheme at a particular interior grid point. A necessary and sufficient condition, in terms of the anisotropy matrix, for…mehr

Andere Kunden interessierten sich auch für
Produktbeschreibung
We present a new second-order stable Cartesian grid algorithm for solving anisotropic elliptic boundary value problems on bounded irregular domains in two dimensions (2D) and three dimensions (3D). The irregular domain is embedded in a uniform Cartesian mesh, but grid points outside of the domain are not used. Second- order local truncation error and the sufficient Gerschgorin criterion for stability impose some conditions to be satisfied by the weights of the discretization scheme at a particular interior grid point. A necessary and sufficient condition, in terms of the anisotropy matrix, for the existence of a Gerschgorin second-order scheme at a given interior grid point is found. This theorem is proved in 2D and 3D. The governing partial differential equations are discretized through a new technique which uses a linear programming approach to find the scheme at points far away from the irregular boundary. Near the irregular boundary, with the addition of boundary information,special discretizations are found by using an optimization approach.
Autorenporträt
Miguel Dumett did his undergraduate studies at Pontificia Universidad Catolica del Peru, his M.Sc. in Mathematics at IMPA, Brazil and his Ph.D in Applied Mathematics at University of Utah. He works currently at the Jet Propulsion Laboratory, Pasadena, California and he is an Adjunct Professor at University of Southern California.