Theses and Dissertations
Date of Award
5-2017
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Computer Science
First Advisor
Dr. Robert Schweller
Second Advisor
Dr. Bin Fu
Third Advisor
Dr. Andrew Winslow
Abstract
The problem of the strict self-assembly of infinite fractals within tile self-assembly is considered. In particular, tile assembly algorithms are provided for the assembly of the discrete Sierpinski triangle and the discrete Sierpinski carpet.
The robust random number generation problem in the abstract tile assembly model is introduced. First, it is shown this is possible for a robust fair coin flip within the aTAM, and that such systems guarantee a worst case O(1) space usage. This primary construction is accompanied with variants that show trade-offs in space complexity, initial seed size, temperature, tile complexity, bias, and extensibility.
This work analyzes the number of tile types t, bins b, and stages necessary and sufficient to assemble n × n squares and scaled shapes in the staged tile assembly model.
Further, this work shows how to design a universal shape replicator in a 2-HAM self-assembly system with both attractive and repulsive forces.
Recommended Citation
Chalk, Cameron, "Fractals, Randomization, Optimal Constructions, and Replication in Algorithmic Self-Assembly" (2017). Theses and Dissertations. 214.
https://scholarworks.utrgv.edu/etd/214
Comments
Copyright 2017 Cameron Chalk. All Rights Reserved.
https://www.proquest.com/dissertations-theses/fractals-randomization-optimal-constructions/docview/1938706346/se-2?accountid=7119