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math.NA2021
Evaluations of The Hierarchical Subspace Iteration Method
Ahmad Nasikun, Klaus Hildebrandt
This document contains additional experiments concerned with the evaluation of the Hierarchical Subspace Iteration Method, which is introduced in~\cite{Nasikun2021}}
math.NA2021★ 12 cited
The Hierarchical Subspace Iteration Method for Laplace--Beltrami Eigenproblems
Ahmad Nasikun, Klaus Hildebrandt
Sparse eigenproblems are important for various applications in computer graphics. The spectrum and eigenfunctions of the Laplace--Beltrami operator, for example, are fundamental fo…
math.NA2019★ 6 cited
Geometric optimization using nonlinear rotation-invariant coordinates
Josua Sassen, Behrend Heeren, Klaus Hildebrandt +1
Geometric optimization problems are at the core of many applications in geometry processing. The choice of a representation fitting an optimization problem can considerably simplif…