MCQMC 2012

2012年MCQMC

• 批准号: 1135257
• 负责人: Art Owen
• 金额: $ 2万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-15 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1135257&HistoricalAwards=false
• 关键词: MCQMC; 2012

This project funds the travel expenses of US based researchers to the tenth International conference on Monte Carlo and quasi-Monte Carlo methods, to be held in Sydney Australia in February 2012. The meeting will consider advanced methods for psuedo-random number generation, construction of low discrepancy point sets, and complexity of algorithms. There will be tutorial sessions on Monte Carlo, quasi-Monte Carlo and Markov chain Monte Carlo.The Monte Carlo (MC) method is a computer based simulation using random number generators. The name was given by atomic researchers in the 1940s who likened their simulation methods to keeping score in a casino in order to learn some odds. Monte Carlo methods are used in every branch of science and engineering because they allow brute force computer power to be used on problems that are too complicated to solve mathematically. Quasi-Monte Carlo (QMC) methods replace simulated random numbers by strategically chosen ones. By leaving less to chance, large improvements in accuracy are possible. MC and QMC methods are widely applied in computer graphics to make animated movies and other images, in computational finance to control risks, in statistical inference to separate real findings from chance fluctuations, and in many other areas. Much of the top QMC work is done in Europe, Asia, Canada and Australia. This conference will bring together leading researchers from around the world to share results. This project will support travel expenses of US based researchers to participate in this exchange of knowledge. Two of the researchers to be supported are US experts giving major(plenary) talks. Of the other researchers to be supported priority will be given to academically young US researchers in the mathematical sciences, especially postdoctoral students and junior faculty, but also including PhD students.

该项目资助美国研究人员参加将于2012年2月在澳大利亚悉尼举行的第十届蒙特卡洛和准蒙特卡洛方法国际会议的差旅费。 会议将考虑伪随机数生成的先进方法，低差异点集的构建和算法的复杂性。将有蒙地卡罗，准蒙地卡罗和马尔可夫链蒙地卡罗教程会议。蒙地卡罗（MC）方法是一种基于计算机的模拟使用随机数发生器。这个名字是由原子研究人员在20世纪40年代提出的，他们将他们的模拟方法比作赌场中的记分，以便了解一些赔率。蒙特卡罗方法被用于科学和工程的每一个分支，因为它们允许使用蛮力计算机处理太复杂而无法用数学解决的问题。准蒙特卡罗（QMC）方法取代模拟随机数的战略选择。通过减少偶然性，可以大大提高准确性。MC和QMC方法广泛应用于计算机图形学中以制作动画电影和其他图像，应用于计算金融学中以控制风险，应用于统计推断中以将真实的发现与偶然波动分开，以及应用于许多其他领域。大部分顶级QMC工作是在欧洲、亚洲、加拿大和澳大利亚完成的。这次会议将汇集来自世界各地的领先研究人员分享成果。 该项目将支持美国研究人员参加知识交流的差旅费。 其中两名研究人员是美国专家，他们将在全体会议上发表重要讲话。在其他获得资助的研究人员中，将优先考虑数学科学领域的年轻美国学术研究人员，特别是博士后学生和初级教师，但也包括博士生。