## Abstract

For compact Euclidean bodies P, Q, we define λ(P, Q) to be the smallest ratio r/s where r > 0, s > 0 satisfy {Mathematical expression}. Here sQ denotes a scaling of Q by the factor s, and Q′, Q″ are some translates of Q. This function λ gives us a new distance function between bodies which, unlike previously studied measures, is invariant under affine transformations. If homothetic bodies are identified, the logarithm of this function is a metric. (Two bodies are homothetic if one can be obtained from the other by scaling and translation.) For integer k ≥ 3, define λ(k) to be the minimum value such that for each convex polygon P there exists a convex k-gon Q with λ(P, Q) ≤ λ(k). Among other results, we prove that 2.118 ... <-λ(3) ≤ 2.25 and λ(k) = 1 + Θ(k^{ -2}). We give an O(n^{ 2} log^{2} n)-time algorithm which, for any input convex n-gon P, finds a triangle T that minimizes λ(T, P) among triangles. However, in linear time we can find a triangle t with λ(t, P)<-2.25. Our study is motivated by the attempt to reduce the complexity of the polygon containment problem, and also the motion-planning problem. In each case we describe algorithms which run faster when certain implicit slackness parameters of the input are bounded away from 1. These algorithms illustrate a new algorithmic paradigm in computational geometry for coping with complexity.

Original language | English (US) |
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Pages (from-to) | 365-389 |

Number of pages | 25 |

Journal | Algorithmica |

Volume | 8 |

Issue number | 1-6 |

DOIs | |

State | Published - Dec 1992 |

## Keywords

- Algorithmic paradigms
- Banach-Mazur metric
- Computational geometry
- Implicit complexity parameters
- Polygonal approximation
- Shape approximation

## ASJC Scopus subject areas

- Computer Science(all)
- Computer Science Applications
- Applied Mathematics