Chapter 19: Example application
Abstract
In the coming chapters we will look at different ways of parallelizing a common algorithm: the power method. This linear algebra algorithm computes the largest eigenvalue of a matrix and its corresponding eigenvector. While this is valuable in itself—it is, for instance, the basis of Google’s PageRank—it is also the basis for more general mathematical methods for linear systems of equations and eigenvalue calculations.
Fields of Study & Subjects
Matrix Theory and Algorithms
Parallel Computing and Optimization Techniques
Computer Graphics and Visualization Techniques
Publication details
- Journal / source
- Society for Industrial and Applied Mathematics eBooks
- Pages
- 179–183
- Publication date
- 19 January 2026
- Language
- EN
- Document type
- Book chapter