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Titlebook: DNA Computing; 12th International M Chengde Mao,Takashi Yokomori Conference proceedings 2006 Springer-Verlag Berlin Heidelberg 2006 3-SAT.D

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https://doi.org/10.1007/978-3-322-91546-7ing that language in polynomial time. Unlike the previous case, all nodes of this ANSP depend on the given language. Since each ANSP may be viewed as a problem solver as shown in [6], the later result may be interpreted as a method for solving every .-problem in polynomial time by an ANSP of size 7.
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https://doi.org/10.1007/978-3-322-88922-5hich in general is not uniform. We classify the pot in three classes: weakly satisfiable, satisfiable and strongly satisfiable according to possible components that assemble in complete complexes. This classification is characterized through the spectrum of the pot, which can be computed in PTIME using the standard Gauss-Jordan elimination method.
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Allgemeine KonstruktionshinweiseAlthough our algorithm can deal with many types of hamming distance-based constraints and is easy to extend (e.g., also applicable for other constraints), in computational experiments, we succeeded in generating better sequence sets than the ones generated by exiting methods of more specified constraints.
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Design and Simulation of Self-repairing DNA Latticesible computational DNA tile set to its reversible counterpart and hence improve the self-repairability of the computational lattice. But doing the transform with an optimal number of tiles, is still an open question.
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