| dc.creator | Xu, Sheng | |
| dc.creator | Freund, Robert M. | |
| dc.creator | Sun, Jie | |
| dc.date | 2003-12-23T03:14:50Z | |
| dc.date | 2003-12-23T03:14:50Z | |
| dc.date | 2002-01 | |
| dc.date.accessioned | 2013-10-09T02:33:46Z | |
| dc.date.available | 2013-10-09T02:33:46Z | |
| dc.date.issued | 2013-10-09 | |
| dc.identifier | http://hdl.handle.net/1721.1/4015 | |
| dc.identifier.uri | http://koha.mediu.edu.my:8181/xmlui/handle/1721 | |
| dc.description | Given a set of circles C = {c₁, ..., cn}on the Euclidean plane with centers {(a₁, b₁), ..., (an, b<sub>n</sub>)}and radii {r₁..., r<n},the smallest enclosing circle (of fixed circles) problem is to ï¬ nd the circle of minimum radius that encloses all circles in C. We survey four known approaches for this problem, including a second order cone reformulation, a subgradient approach, a quadratic programming scheme, and a randomized incremental algorithm. For the last algorithm we also give some implementation details. It turns out the quadratic programming scheme outperforms the other three in our computational experiment. | |
| dc.description | Singapore-MIT Alliance (SMA) | |
| dc.format | 175555 bytes | |
| dc.format | application/pdf | |
| dc.language | en_US | |
| dc.relation | High Performance Computation for Engineered Systems (HPCES); | |
| dc.subject | computational geometry | |
| dc.subject | optimization | |
| dc.title | Solution Methodologies for the Smallest Enclosing Circle Problem | |
| dc.type | Article |
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