The Hierarchical Subspace Iteration Method for Computing Vibration Modes of Elastic Objects

Master Thesis (2023)
Author(s)

J.M.C. van Dijk (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

K.A. Hildebrandt – Mentor (TU Delft - Computer Graphics and Visualisation)

E. Eisemann – Graduation committee member (TU Delft - Computer Graphics and Visualisation)

Elvin Isufi – Graduation committee member (TU Delft - Multimedia Computing)

Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright
© 2023 Julian van Dijk
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 Julian van Dijk
Graduation Date
24-11-2023
Awarding Institution
Delft University of Technology
Programme
Computer Science
Faculty
Electrical Engineering, Mathematics and Computer Science
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Abstract

The Hierarchical Subspace Iteration Method is a novel method used to compute eigenpairs of the Laplace-Beltrami problem. It reduces the number of iterations required for convergence by restricting the problem to a smaller space and prolonging the solution as a starting point. This method has shown great performance improvements for Laplace-Beltrami eigenproblems.
We propose an adaptation to the Hierarchical Subspace Iteration Method that allows for computing vibration modes of elastic objects. We evaluate potential optimizations that can be made, as well as the performance characteristics of the method. Our method was shown to be faster than SIM in most cases while even beating Matlab's Lanczos solver in some cases.

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