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Commit 4cda68d8 authored by Ama-marina Kreme's avatar Ama-marina Kreme
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Update README.md

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...@@ -9,7 +9,7 @@ The sound material is available in folder 'data'. ...@@ -9,7 +9,7 @@ The sound material is available in folder 'data'.
The code is available in folders 'matlab' and 'python'. The main experiments are available in both programming languages: The code is available in folders 'matlab' and 'python'. The main experiments are available in both programming languages:
* Figure 1 and 2 can be reproduced in Matlab by running `tff2020/matlab/tfgm/scripts/exp_gabmul_eigs_properties.m`. * Figure 1 and 2 can be reproduced in Matlab by running `tff2020/matlab/tfgm/scripts/exp_gabmul_eigs_properties.m`.
* Figure 3 can be reproduced in Matlab by running file `*tff2020/matlab/tfgm/scripts/rank_estimation_halko_vs_eigs_gausswin.m`. * Figure 3 can be reproduced in Matlab by running file `tff2020/matlab/tfgm/scripts/rank_estimation_halko_vs_eigs_gausswin.m`.
* Figure 4 can be reproduced in Python by running the specific tasks 12 and 13 from `tffpy.scripts.script_exp_solve_tff.py`. * Figure 4 can be reproduced in Python by running the specific tasks 12 and 13 from `tffpy.scripts.script_exp_solve_tff.py`.
* Figure 5 can be reproduced in Python by running the specific tasks 12 and 13 from `tffpy.scripts.script_exp_solve_tff.py`. * Figure 5 can be reproduced in Python by running the specific tasks 12 and 13 from `tffpy.scripts.script_exp_solve_tff.py`.
* Figure 6 can be reproduced in Python by running the full experiment from `tffpy.scripts.script_exp_solve_tff.py`. * Figure 6 can be reproduced in Python by running the full experiment from `tffpy.scripts.script_exp_solve_tff.py`.
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