| dc.contributor.advisor | Demaine, Erik D. | |
| dc.contributor.author | Luo, Victor | |
| dc.date.accessioned | 2024-09-16T13:49:23Z | |
| dc.date.available | 2024-09-16T13:49:23Z | |
| dc.date.issued | 2024-05 | |
| dc.date.submitted | 2024-07-11T14:36:32.249Z | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/156791 | |
| dc.description.abstract | This Master’s thesis investigates three diverse problem domains through the lens of computational inapproximability: Max 2SAT-3, the Net tile-rotating puzzle family, and the mobile game Euclidea. Max 2SAT-3 is a problem long known to be APX-complete, but finding a clear proof is harder than one might expect. We examine the history of Max 2SAT-3, addressing past misconceptions and clarifying where the reduction chain has been opaque, and present a novel proof of its APX-completeness. Net variants form a wide class of puzzles with lots of potential for future research. We introduce a natural optimization variant of Net and demonstrate its inapproximability, as well as consolidate existing findings and present other new results. Euclidea is a mobile game based on Euclidean straightedge-and-compass constructions. We define the game as an optimization problem and establish its APX-hardness, as well as discuss challenges in upper-bounding its complexity, relating to current knowledge gaps regarding the constructible and algebraic numbers. | |
| dc.publisher | Massachusetts Institute of Technology | |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) | |
| dc.rights | Copyright retained by author(s) | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.title | Max 2SAT-3, Net, Euclidea: Techniques and Results in Computational Inapproximability | |
| dc.type | Thesis | |
| dc.description.degree | M.Eng. | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| mit.thesis.degree | Master | |
| thesis.degree.name | Master of Engineering in Electrical Engineering and Computer Science | |