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Workshop on Computational Geometry with a Focus on Open Problems

Workshop on Computational Geometry with a Focus on Open Problems
关注开放问题的计算几何研讨会
批准号:
0456026
负责人:
Erik Demaine
金额:
$1.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2004
资助国家:
美国
项目状态:
已结题
起止时间:
2004-11-15 至 2005-03-31

项目摘要

项目成果

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中文摘要
翻译
研讨会于2004年11月19日至20日在麻省理工学院举行。它是正在进行的计算几何秋季系列研讨会的第14期,该研讨会始于1991年在石溪。关于计算几何的研讨会是一个论坛,用于报告在理论和应用计算几何的许多领域正在进行的最先进的研究。这个特别的研讨会的重点是强调开放问题和该领域正在进行的挑战,目的是正式的开放问题陈述将有助于形成新的调查和创新解决方案的催化剂,同时激励新的研究人员,特别是学生,参与解决离散和计算几何中的一些悬而未决的问题。工作坊的重点是举办公开问题论坛,以促进问题和研究挑战的自由交流。工作坊的成果将通过互联网广泛传播,并附有演讲摘要和提出的公开问题的详细清单。许多未决问题将在开放问题项目(TOPP)网页中突出显示,这是一个最近建立的开放问题论坛,由三名研讨会组织者(Demaine、Mitchell和O‘Rourke)主持。
英文摘要
The workshop took place November 19-20, 2004 at MIT. It served as the 14th in the ongoing series of Fall Workshops on Computational Geometry, which originated at Stony Brook in 1991. The workshop on computational geometry is a forum for reporting ongoing state-of-the art research in many areas of theoretical and applied computational geometry. The focus of this particular workshop is to highlight open problems and ongoing challenges to the field, with the intention that formalized statements of open problems will help form a catalyst for new investigations and innovative solutions, while motivating new researchers, particularly students, to engage in attacking some of the outstanding questions in discrete and computational geometry. A key focus of the workshop will be an Open Problem Forum in order to promote a free exchange of questions and research challenges.The results of the workshop will be widely disseminated by means of the internet, with talk abstracts and a detailed list of open problems raised. Many of the open problems will be highlighted in The Open Problem Project (TOPP) web pages, a recently established open problem forum moderated by three of the workshop organizers (Demaine, Mitchell, and O'Rourke).
期刊论文(0)
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会议论文
Collaborative Research: AF: Small: Structural Graph Algorithms via General Frameworks
CCRI: Planning: Algorithmically Updating Repository of Reductions in Fine-Grained Complexity
BIGDATA: Collaborative Research: F: Making Big Data Accessible on Personal Devices: Big Network Algorithms, External Memory, and Data Streams
AF: Medium: Collaborative Research: General Frameworks for Approximation and Fixed-Parameter Algorithms
国内基金
海外基金
Computational Methods for Analyzing Toponome Data