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Evaluations of The Hierarchical Subspace Iteration Method

11/17/2021

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by Ahmad Nasikun, et al.

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This document contains additional experiments concerned with the evaluation of the Hierarchical Subspace Iteration Method, which is introduced in <cit.>

Ahmad Nasikun
4 publications
Klaus Hildebrandt
12 publications

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research

∙ 11/17/2021

The Hierarchical Subspace Iteration Method for Laplace–Beltrami Eigenproblems

Sparse eigenproblems are important for various applications in computer ...

0 Ahmad Nasikun, et al. ∙

research

∙ 12/30/2022

A New Subspace Iteration Algorithm for Solving Generalized Eigenvalue Problems

It is needed to solve generalized eigenvalue problems (GEP) in many appl...

0 Biyi Wang, et al. ∙

research

∙ 12/03/2019

A FEAST variant incorporated with a power iteration

We present a variant of the FEAST matrix eigensolver for solving restric...

0 Man-Chung Yeung, et al. ∙

research

∙ 05/23/2023

Constructions of Constant Dimension Subspace Codes

Subspace codes have important applications in random network coding. It ...

0 Yun Li, et al. ∙

research

∙ 05/30/2023

Flexible Enlarged Conjugate Gradient Methods

Enlarged Krylov subspace methods and their s-step versions were introduc...

0 Sophie M. Moufawad, et al. ∙

research

∙ 08/01/2019

Lagrange Multipliers and Rayleigh Quotient Iteration in Constrained Type Equations

We generalize the Rayleigh quotient iteration to a class of functions ca...

0 Du Nguyen, et al. ∙

research

∙ 12/08/2022

A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces

Many machine learning problems encode their data as a matrix with a poss...

0 Charline Le Lan, et al. ∙