Computational & Technology Resources
an online resource for computational,
engineering & technology publications
Computational Science, Engineering & Technology Series
ISSN 1759-3158
Edited by: F. Magoulès
Chapter 7

Theory and Numerical Methods for Eigenvalue Problems

K. Meerbergen

K.U. Leuven, Department of Computer Science, Leuven, Belgium

Full Bibliographic Reference for this chapter
K. Meerbergen, "Theory and Numerical Methods for Eigenvalue Problems", in F. Magoulès, (Editor), "Computational Methods for Acoustics Problems", Saxe-Coburg Publications, Stirlingshire, UK, Chapter 7, pp 181-206, 2008. doi:10.4203/csets.18.7
Keywords: algebraic eigenvalue problems, generalised eigenvalue problem, quadratic eigenvalue problem, Lanczos method, Arnoldi method, spectral transformation.

This chapter reviews the theory on the algebraic eigenvalue problem, and in particular, the theory on the linear definite generalised eigenvalue problem (stiffness-mass), and the quadratic eigenvalue problem (stiffness-damping-mass). Numerical methods are presented for solving large scale problems, where the focus is on Krylov methods: Lanczos and Arnoldi, and the spectral transformation. Important notions such as inertia and sparse LDLT factorisation are also touched on. Examples are included to illustrate the theory, as well as a bibliographical note with references to techniques other than those discussed in this chapter.

purchase the full-text of this chapter (price £25)

go to the previous chapter
go to the next chapter
return to the table of contents
return to the book description
purchase this book (price £95 +P&P)