## Abstract

This paper addresses the complexity of computing the smallest-radius infinite cylinder that encloses an input set of n points in 3-space. We show that the problem can be solved in time O(n^{4} log^{O(1)} n) in an algebraic complexity model. We also achieve a time of O(n^{4}L · μ(L)) in a bit complexity model where L is the maximum bit size of input numbers and μ(L) is the complexity of multiplying two L bit integers. These and several other results highlight a general linearization technique which transforms nonlinear problems into some higher-dimensional but linear problems. The technique is reminiscent of the use of Plücker coordinates, and is used here in conjunction with Megiddo's parametric searching. We further report on experimental work comparing the practicality of an exact with that of a numerical strategy.

Original language | English (US) |
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Pages (from-to) | 170-186 |

Number of pages | 17 |

Journal | Algorithmica (New York) |

Volume | 27 |

Issue number | 2 |

DOIs | |

State | Published - 2000 |

## Keywords

- Best-fit line
- Geometric optimization
- Parametric search
- Smallest enclosing cylinder
- ε-approximation algorithms

## ASJC Scopus subject areas

- General Computer Science
- Computer Science Applications
- Applied Mathematics