Search - Closest pair of points

Search - Closest pair of points - List

[Other resource] PQP DL : 0: PQP is a library for performing three types of proximity queries on a pair of geometric models composed of triangles: collision detection - detecting whether the two models overlap, and optionally, all of the triangles that overlap. distance computation - computing the minimum distance between a pair of models, i.e., the distance between the closest pair of points. tolerance verification - determining whether two models are closer or farther than a tolerance distance. -PQP is a library for performing three types proximity of queries on a pair of geometric mode ls composed of triangles : collision detection-detecting whether the tw o models overlap, and optionally, all of the triangles that overlap. distance com putation-computing the minimum distance betw een a pair of models, ie, the distance between the closest pair of points . tolerance verification-determining whethe r two models are closer or farther than a toleran ce distance.
Date : 2008-10-13 Size : 482.07kb User : bilka
[3D Graphic] PQP DL : 0: PQP is a library for performing three types of proximity queries on a pair of geometric models composed of triangles: collision detection - detecting whether the two models overlap, and optionally, all of the triangles that overlap. distance computation - computing the minimum distance between a pair of models, i.e., the distance between the closest pair of points. tolerance verification - determining whether two models are closer or farther than a tolerance distance. -PQP is a library for performing three types proximity of queries on a pair of geometric mode ls composed of triangles : collision detection-detecting whether the tw o models overlap, and optionally, all of the triangles that overlap. distance com putation-computing the minimum distance betw een a pair of models, ie, the distance between the closest pair of points . tolerance verification-determining whethe r two models are closer or farther than a toleran ce distance.
Date : 2025-07-15 Size : 482kb User : bilka
[Other] ClosestPair DL : 0: 最小点对距离，即ClosestPair，时间复杂度进行了优化-The program is used to find the closest pair points
Date : 2025-07-15 Size : 16kb User : chaplin
[GUI Develop] closestPairPoints DL : 0: 使用分治法求大量点中的最近点对.使用MFC做用户界面.10^6个点时间大约为0.1妙-Get the closest pair of points from points clouds by divide and conquer method. UI by MFC. It costs about 0.1 second computing from 1,000,000 points
Date : 2025-07-15 Size : 93kb User : sparrow
[Other] closestPair DL : 0: 给定一个特定的二维点集，求出其中距离最近的一对点-Find the closest pair of a certain 2D points set.
Date : 2025-07-15 Size : 4.85mb User : DSQ
[Other] Find-the-closest-pair-of-points DL : 0: 最近点算法，FCPP，c++语言，visual studio-The closest point algorithm, FCPP, c++ language, visual studio
Date : 2025-07-15 Size : 1kb User : 赵纯艺
[Data structs] Dijkstra DL : 0: 最小点对问题（二维）二维最接近点对问题：给定平面上n个点，找其中的一对点，使得在n个点的所有点对中，该点对的距离最小。严格地说，最接近点对可能多于1对。【本算法基于C++语言编写，在Windows平台的DEV C++下编译通过，且运行正常】 -The minimum point of the problem (two-dimensional) two-dimensional closest point of the problem: a pair of points given n points in the plane, looking for them, so that all points of n points, the point of minimum distance. Strictly speaking, the closest point to the possibility of more than one pair. The algorithm is based on C++ written language.
Date : 2025-07-15 Size : 2kb User : LEE
[Other] grammar DL : 0: 第1章算法引论　　1.1 算法与程序　　1.2 表达算法的抽象机制　　1.3 描述算法　　1.4 算法复杂性分析　　小结　　习题　　第2章递归与分治策略　　2.1 速归的概念　　2.2 分治法的基本思想　　2.3 二分搜索技术　　2.4 大整数的乘法　　2.5 Strassen矩阵乘法　　2.6 棋盘覆盖　　2.7 合并排序　　2.8 快速排序　　2.9 线性时间选择　　2.10 最接近点对问题　　2.11 循环赛日程表　　小结　　习题　　第3章动态规划　　3.1 矩阵连乘问题　　3.2 动态规划算法的基本要素　等(The first chapter is an introduction to Algorithms 1.1 algorithms and programs Abstraction mechanism of 1.2 expression algorithm 1.3 description algorithm Complexity analysis of 1.4 algorithms Summary exercises The second chapter recursion and divide and conquer strategy The concept of 2.1 speed return The basic idea of 2.2 points therapy 2.3 two point search technology Multiplication of 2.4 integers 2.5 Strassen matrix multiplication 2.6 checkerboard coverage 2.7 merge sort 2.8 quick sort 2.9 linear time selection 2.10 closest point pair problem 2.11 round robin calendar Summary exercises The third chapter dynamic planning)
Date : 2025-07-15 Size : 2.27mb User : Summer-LXN