Many problems arising from engeneering and scientific computing give rise to large, sparce matrices. The aim of this work is to describe a set of highly efficient iterative methods for solving linear systems with large sparse matrices, arising from the analysis of seismic body wave propagation. An "ad hoc" initial boundary value problem is formulated for heterogeneous dissipative media with arbitrary topography. Its numerical implementation is based on Finite Ele- ment Method on non structured mesh. Some results are presented.

Algorithms for Large Sparse Matrices Based on Finite Element Method

Luigia Puccio;
2009-01-01

Abstract

Many problems arising from engeneering and scientific computing give rise to large, sparce matrices. The aim of this work is to describe a set of highly efficient iterative methods for solving linear systems with large sparse matrices, arising from the analysis of seismic body wave propagation. An "ad hoc" initial boundary value problem is formulated for heterogeneous dissipative media with arbitrary topography. Its numerical implementation is based on Finite Ele- ment Method on non structured mesh. Some results are presented.
2009
Large Sparse Matrix
Finite Element Method
Gauss-Seidel Method
Incomplete Cholesky Factorization
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/224633
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact