### Abstract

In this paper we investigate data structures obtained by a recursive partitioning of the multi-dimensional input domain into regions of equal size. One of the best known examples of such a structure is the quadtree. It is used here as a basis for more complex data structures. We also provide multidimensional versions of the stratified tree by van Emde Boas [vEB]. We show that under the assumption that the input points have limited precision (i.e., are drawn from the integer grid of size u) these data structures yield efficient solutions to many important problems. In particular, they allow us to achieve O (log log u) time per operation for dynamic approximate nearest neighbor (under insertions and deletions) and exact on-line closest pair (under insertions only) in any constant number of dimensions. They allow O (log log u) point location in a given planar shape or in its expansion (dilation by a ball of a given radius). Finally, we provide a linear time (optimal) algorithm for computing the expansion of a shape represented by a region quadtree. This result shows that the spatial order imposed by this regular data structure is sufficient to optimize the operation of dilation by a ball.

Original language | English (US) |
---|---|

Pages (from-to) | 164-187 |

Number of pages | 24 |

Journal | Algorithmica |

Volume | 30 |

Issue number | 2 |

State | Published - Jun 2001 |

### Fingerprint

### Keywords

- Approximate nearest neighbor
- Multidimensional stratified trees
- Point location
- Quadtree dilation
- Spatial data structure

### ASJC Scopus subject areas

- Computer Graphics and Computer-Aided Design
- Software
- Safety, Risk, Reliability and Quality
- Applied Mathematics

### Cite this

*Algorithmica*,

*30*(2), 164-187.

**Efficient regular data structures and algorithms for dilation, location, and proximity problems.** / Amir, A.; Efrat, Alon; Indyk, P.; Samet, H.

Research output: Contribution to journal › Article

*Algorithmica*, vol. 30, no. 2, pp. 164-187.

}

TY - JOUR

T1 - Efficient regular data structures and algorithms for dilation, location, and proximity problems

AU - Amir, A.

AU - Efrat, Alon

AU - Indyk, P.

AU - Samet, H.

PY - 2001/6

Y1 - 2001/6

N2 - In this paper we investigate data structures obtained by a recursive partitioning of the multi-dimensional input domain into regions of equal size. One of the best known examples of such a structure is the quadtree. It is used here as a basis for more complex data structures. We also provide multidimensional versions of the stratified tree by van Emde Boas [vEB]. We show that under the assumption that the input points have limited precision (i.e., are drawn from the integer grid of size u) these data structures yield efficient solutions to many important problems. In particular, they allow us to achieve O (log log u) time per operation for dynamic approximate nearest neighbor (under insertions and deletions) and exact on-line closest pair (under insertions only) in any constant number of dimensions. They allow O (log log u) point location in a given planar shape or in its expansion (dilation by a ball of a given radius). Finally, we provide a linear time (optimal) algorithm for computing the expansion of a shape represented by a region quadtree. This result shows that the spatial order imposed by this regular data structure is sufficient to optimize the operation of dilation by a ball.

AB - In this paper we investigate data structures obtained by a recursive partitioning of the multi-dimensional input domain into regions of equal size. One of the best known examples of such a structure is the quadtree. It is used here as a basis for more complex data structures. We also provide multidimensional versions of the stratified tree by van Emde Boas [vEB]. We show that under the assumption that the input points have limited precision (i.e., are drawn from the integer grid of size u) these data structures yield efficient solutions to many important problems. In particular, they allow us to achieve O (log log u) time per operation for dynamic approximate nearest neighbor (under insertions and deletions) and exact on-line closest pair (under insertions only) in any constant number of dimensions. They allow O (log log u) point location in a given planar shape or in its expansion (dilation by a ball of a given radius). Finally, we provide a linear time (optimal) algorithm for computing the expansion of a shape represented by a region quadtree. This result shows that the spatial order imposed by this regular data structure is sufficient to optimize the operation of dilation by a ball.

KW - Approximate nearest neighbor

KW - Multidimensional stratified trees

KW - Point location

KW - Quadtree dilation

KW - Spatial data structure

UR - http://www.scopus.com/inward/record.url?scp=0242269930&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0242269930&partnerID=8YFLogxK

M3 - Article

VL - 30

SP - 164

EP - 187

JO - Algorithmica

JF - Algorithmica

SN - 0178-4617

IS - 2

ER -