Opening book details…
Can I read Eigenvalue Extraction for Large Finite Element Models Using a New Conjugate Gradient Algorithm on EtoBox?
Eigenvalue Extraction for Large Finite Element Models Using a New Conjugate Gradient Algorithm by R. A. Lafreniere; M. L. Accorsi is a Engineering article available to read on EtoBox.
What is Eigenvalue Extraction for Large Finite Element Models Using a New Conjugate Gradient Algorithm about?
A new conjugate gradient algorithm is presented for extracting eigenvalues from large systems of equations encountered in finite element analysis. The new algorithm involves applying the conjugate gradient method (CGM) to a static problem to generate an equivalent tridiagonal matrix used for eigenvalue computation. The eigenvalues of the tridiagonal matrix are then extracted using a QR factorization. The similarity of the new CGM with the Lanczos method is discussed regarding the need for matrix inversion and reorthogonalization. Several examples using the new method are presented to illustrate its performance.
Who reads Eigenvalue Extraction for Large Finite Element Models Using a New Conjugate Gradient Algorithm?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- R. A. Lafreniere; M. L. Accorsi
- Publisher
- John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 1069-8299)
- Published
- 1996
- Language
- EN
- Field
- Engineering (Physical Sciences)