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Audible NP-Complete Problem
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convert_wav_to_mp3.sh add example mp3s Oct 26, 2019
maxval_0032_card_05_01.mp3 add example mp3s Oct 26, 2019
maxval_0080_card_15_01.mp3
maxval_0080_card_15_02.mp3 add example mp3s Oct 26, 2019
maxval_0128_card_07_01.mp3 add example mp3s Oct 26, 2019
maxval_0128_card_07_02.mp3 add example mp3s Oct 26, 2019
maxval_0128_card_07_03.mp3 add example mp3s Oct 26, 2019
maxval_0256_card_05_01.mp3 add example mp3s Oct 26, 2019
maxval_1024_card_10_01.mp3 add example mp3s Oct 26, 2019
readme.md friendly reading is paragraph reading Oct 26, 2019
requirements.txt
sound.py progress Oct 26, 2019

readme.md

Listen to an NP-Complete Problem

The task of finding whether

integrate product of cosines

is true or not, for a corresponding to a set of a's, corresponds to a solution of the number partition problem and therefore is NP-complete [Plaisted]. Therefore, listening to a product of cosines with a frequency scaled by a set of integers corresponds very literally to listening to an NP-complete problem. In this git repo is a generator for number partition problems and the product of cosine problems related to these, and the conversion to sounds.

In the section of the parameter space I've explored, they mostly sound like laundry machines. But they sound like interestingly different laundry machines each time! The mp3 files are some representative examples. The most interesting examples lie close to the critical phase transition of the corresponding number partition problem, as would be expected (that is, when log2(max\_val) ~= problem cardinality).

Requires a few packages which are noted in requirements.txt.

Do ./sound.py --help for all arguments.

If things aren't audible, adjust --vol_adj to try to make them audible.

Adjusting --linspace_stop, which scales the whole sound by pitch, also has interesting effects.

I took a script for turning wav to mp3's from here.

[Plaisted] Plaisted, David A. "Some polynomial and integer divisibility problems are NP-hard." 17th Annual Symposium on Foundations of Computer Science (sfcs 1976). IEEE, 1976.

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