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Combinatorial curve reconstruction and the efficient exact implementation of geometric algorithms

机译:组合曲线重构和几何算法的有效精确实现

摘要

This thesis has two main parts. The first part deals with the problem of curve reconstruction. Given a finite sample set S from an unknown collection of curves Gamma, the task is to compute the graph G(S, Gamma) which has vertex set S and an edge between exactly those pairs of vertices that are adjacent on some curve in Gamma. We present a purely combinatorial algorithm that solves the curve reconstruction problem in polynomial time. It is the first algorithm which provably handles collections of curves with corners and endpoints. In the second part of this thesis, we will be concerned with the exact and efficient im plementation of geometric algorithms. First, we develop a generalized filtering scheme to speed-up exact geometric computation and then discuss the design of an object-oriented kernel for geometric computation.
机译:本文主要分为两个部分。第一部分处理曲线重建问题。给定一个来自未知曲线Gamma集合的有限样本集S,任务是计算图G(S,Gamma),它具有顶点集S和恰好在Gamma的某些曲线上相邻的那对顶点之间的边。我们提出了一种纯粹的组合算法,可以解决多项式时间内的曲线重构问题。这是第一个可证明处理带有角和端点的曲线集合的算法。在本文的第二部分,我们将关注几何算法的精确和高效实现。首先,我们开发一种通用的过滤方案以加快精确的几何计算速度,然后讨论用于几何计算的面向对象内核的设计。

著录项

  • 作者

    Funke Stefan;

  • 作者单位
  • 年度 2001
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

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