by Yuriy Brun
Abstract:
Formalized study of self-assembly has led to the definition of the tile assembly model, a highly distributed parallel model of computation that may be implemented using molecules or a large computer network such as the Internet. Previously, I defined deterministic and nondeterministic computation in the tile assembly model and showed how to add, multiply, and factor. Here, I extend the notion of computation to include deciding subsets of the natural numbers, and present a system that decides $\mathitSubsetSum$, a well known NP-complete problem. The computation is nondeterministic and each parallel assembly executes in time linear in the input. The system requires only a constant number of different tile types: 49. I describe mechanisms for finding the successful solutions among the many parallel assemblies and explore bounds on the probability of such a nondeterministic system succeeding and prove that probability can be made arbitrarily close to 1.
Citation:
Yuriy Brun, Solving NP-complete problems in the tile assembly model, Theoretical Computer Science, vol. 395, no. 1, April 2008, pp. 31–46.
Related:
Extended and revised version of "Constant-size tileset for solving
an NP-complete problem in nondeterministic linear time" in DNA Computing 2008.
A previous version appeared as University of Southern California, Center for
Software Engineering technical report USC-CSSE-2007-703.
Bibtex:
@article{Brun08np-c,
author = {Yuriy Brun},
title =
{\href{http://people.cs.umass.edu/brun/pubs/pubs/Brun08np-c.pdf}{Solving
{NP}-complete problems in the tile assembly model}},
journal = {Theoretical Computer Science},
venue = {TCS},
volume = {395},
number = {1},
pages = {31--46},
month = {April},
date = {17},
year = {2008},
issn = {0304-3975},
doi = {10.1016/j.tcs.2007.07.052},
publisher = {Elsevier},
address = {Essex, {UK}},
note = {Extended and revised version of~\ref{Brun08dna-lncs}. A
previous version appeared as University of Southern California, Center for
Software Engineering technical report USC-CSSE-2007-703.
\href{https://doi.org/10.1016/j.tcs.2007.07.052}{DOI:
10.1016/j.tcs.2007.07.052}},
previous = {Extended and revised version of "Constant-size tileset for solving
an NP-complete problem in nondeterministic linear time" in DNA Computing 2008.
A previous version appeared as University of Southern California, Center for
Software Engineering technical report USC-CSSE-2007-703.},
abstract = {Formalized study of self-assembly has led to the definition of the
tile assembly model, a highly distributed parallel model of computation that
may be implemented using molecules or a large computer network such as the
Internet. Previously, I defined deterministic and nondeterministic computation
in the tile assembly model and showed how to add, multiply, and factor. Here,
I extend the notion of computation to include deciding subsets of the natural
numbers, and present a system that decides $\mathit{SubsetSum}$, a well known
NP-complete problem. The computation is nondeterministic and each parallel
assembly executes in time linear in the input. The system requires only a
constant number of different tile types: 49. I describe mechanisms for finding
the successful solutions among the many parallel assemblies and explore bounds
on the probability of such a nondeterministic system succeeding and prove that
probability can be made arbitrarily close to 1.},
}