GitHub - cristian-rusu-research/FAST-EIGENSPACE-APPROXIMATIONS: Demo souce code for Fast approximate eigenspaces with application to fast graph Fourier transforms

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Demo souce code for Fast approximate eigenspaces with application to fast graph Fourier transforms

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
.gitattributes		.gitattributes
LICENSE		LICENSE
applyGTransformOnLeft.m		applyGTransformOnLeft.m
applyGTransformOnLeftTransp.m		applyGTransformOnLeftTransp.m
applyGTransformOnRight.m		applyGTransformOnRight.m
applyGTransformOnRightInverse.m		applyGTransformOnRightInverse.m
applyGTransformOnRightTransp.m		applyGTransformOnRightTransp.m
general_approximation.m		general_approximation.m
get_Ttransforms_initialization.m		get_Ttransforms_initialization.m
get_Ttransforms_iterations.m		get_Ttransforms_iterations.m
get_Ttransforms_iterations_only_polish.m		get_Ttransforms_iterations_only_polish.m
my_norms.m		my_norms.m
orthogonal_approximation_for_symmetric.m		orthogonal_approximation_for_symmetric.m
readme.txt		readme.txt
test_gen_random.m		test_gen_random.m
test_psd_random.m		test_psd_random.m
vec.m		vec.m

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Cristian Rusu,
November, 2019

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This package contains proof-of-concept source code for the results presented in: Fast approximate eigenspaces approximation with application to fast graph Fourier transforms, C. Rusu and L. Rosasco

This software is released under the MIT license.
Tested on Matlab R2018a.
For problems, bug reports, comments and other contact C. Rusu (cristian.rusu@iit.it).

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Starting points:

test_psd_random.m - Tests Algorithm 1 on a random (d x d) symmetric matrix.
test_gen_random.m - Tests Algorithm 1 on a random (d x d) general (unsymmetric) matrix.