Simple and Efficient Geometric Algorithms and Their Applications
Simple and Efficient Geometric Algorithms and Their Applications
批准号:
9732287
负责人:
Pankaj Agarwal
金额:
$24.26万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1998
资助国家:
美国
项目状态:
已结题
起止时间:
1998-07-01 至 2003-06-30
中文摘要
在计算机图形学、机器人学、计算机视觉、计算机辅助设计、图像处理和地理信息系统等多个应用领域的问题的推动下,计算几何在大约20年前成为一门学科。许多高效的几何算法和复杂的算法范例已经被开发出来,计算几何到现在已经是一门丰富和成熟的学科。然而,计算几何和应用领域之间的联系仍然不像人们所希望的那样强烈。该项目的目的是缩小几何与相关应用领域之间的差距。该项目将解决传统算法设计框架之外的问题,并将开发和实施在实践中运行良好的简单算法。几何问题的各种应用领域,包括可视化,机器人,数据挖掘和计量学将被研究。这些算法将在更现实的计算模型中进行开发和分析,并将在“真实”输入上进行实施和测试。
英文摘要
Motivated by problems in several applied areas, such as computer graphics, robotics, computer vision, computer aided design, image processing, and geographic information systems, computational geometry emerged as a discipline about twenty years ago. Numerous efficient geometric algorithms and sophisticated algorithmic paradigms have been developed, and computational geometry is by now a rich and mature discipline. The link between computational geometry and application areas is, however, still not as strong as one would have hoped for. The purpose of this project is to narrow the gap between geometry and the related applied areas. The project will address the issues beyond the traditional framework of algorithmic design, and simple algorithms will be developed and implemented that work well in practice. Geometric problems motivated by various application areas, including visualization, robotics, data mining, and metrology will be studied. The algorithms will be developed and analyzed in a more realistic model of computation and will be implemented and tested on ``real'' inputs.
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Collaborative Research: AF: Small: Efficient Algorithms for Optimal Transport in Geometric Settings
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批准号:2223870
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项目类别:Standard Grant
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资助金额:$31.59万
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财政年份:2022
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负责人:Pankaj Agarwal
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依托单位:
NSF-BSF: AF: Small: Efficient Algorithms for Multi-Robot Multi-Criteria Optimal Motion Planning
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批准号:2007556
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项目类别:Standard Grant
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资助金额:$44.98万
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财政年份:2020
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负责人:Pankaj Agarwal
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依托单位:
A New Era for Discrete and Computational Geometry
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批准号:1559795
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项目类别:Standard Grant
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资助金额:$2.6万
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财政年份:2016
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负责人:Pankaj Agarwal
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依托单位:
AF: Medium: Collaborative Research: Algorithmic Foundations for Trajectory Collection Analysis
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批准号:1513816
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项目类别:Continuing Grant
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资助金额:$53.91万
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财政年份:2015
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负责人:Pankaj Agarwal
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依托单位:
BSF:201229:Efficient Algorithms for Geometric Optimization
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批准号:1331133
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项目类别:Standard Grant
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资助金额:$3.28万
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财政年份:2013
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负责人:Pankaj Agarwal
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依托单位:
AF:Medium:Collaborative Research: Uncertainty Aware Geometric Computing
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批准号:1161359
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项目类别:Continuing Grant
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资助金额:$30.0万
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财政年份:2012
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负责人:Pankaj Agarwal
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依托单位:
AF: Large: Collaborative Research: Compact Representations and Efficient Algorithms for Distributed Geometric Data
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批准号:1012254
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项目类别:Continuing Grant
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资助金额:$43.27万
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财政年份:2010
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负责人:Pankaj Agarwal
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依托单位:
CDI-Type II: Integrating Algorithmic and Stochastic Modeling Techniques for Environmental Prediction
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批准号:0940671
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项目类别:Standard Grant
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资助金额:$159.19万
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财政年份:2009
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负责人:Pankaj Agarwal
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依托单位:
Collaborative Rsearch: Large-Scale Analysis of Sensor Based Geometric Data
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批准号:0635000
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项目类别:Continuing Grant
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资助金额:$0.0万
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财政年份:2007
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负责人:Pankaj Agarwal
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依托单位:
Collaborative Proposal: Motion -- Models, Algorithms, and Complexity
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批准号:0204118
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项目类别:Standard Grant
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资助金额:$25.5万
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财政年份:2002
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负责人:Pankaj Agarwal
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依托单位:
Algorithmic Issues in Modeling Motion
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批准号:0083033
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项目类别:Standard Grant
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资助金额:$2.5万
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财政年份:2000
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负责人:Pankaj Agarwal
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依托单位:
U.S.-Korea Cooperative Research on Efficient and Applicable Geometric Alogrithms
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批准号:9603605
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项目类别:Standard Grant
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资助金额:$2.04万
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财政年份:1997
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负责人:Pankaj Agarwal
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依托单位:
Geometric Algorithms and their Applications
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批准号:9301259
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项目类别:Standard Grant
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资助金额:$7.0万
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财政年份:1993
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负责人:Pankaj Agarwal
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依托单位:
NYI: Geometric Algorithms and Their Applications
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批准号:9357814
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项目类别:Continuing Grant
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资助金额:$31.25万
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财政年份:1993
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负责人:Pankaj Agarwal
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依托单位:
Efficient Geometric Algorithms and Their Applications
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批准号:9106514
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项目类别:Standard Grant
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资助金额:$3.86万
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财政年份:1991
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负责人:Pankaj Agarwal
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依托单位:
海外基金