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Algebraic methods for Markov Chain Monte Carlo and quasi-Monte Carlo

Algebraic methods for Markov Chain Monte Carlo and quasi-Monte Carlo
马尔可夫链蒙特卡罗和拟蒙特卡罗的代数方法
批准号:
DP1097023
负责人:
Prof Josef Dick
金额:
$52.61万
依托单位国家:
澳大利亚
项目类别:
Discovery Projects
财政年份:
2010
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2010-01-01 至 2016-03-01

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中文摘要
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英文摘要
In an increasingly complex world, the requirements on computational methods for solving real world problems from areas like statistics, finance, economics, physics and others are also constantly increasing. The results from this project will significantly improve existing computational methods, thereby helping to solve existing computational challenges and further strengthening Australia's reputation as a leading scientific location. The research carried out will be in collaboration with international experts, creating and strengthening existing ties of Australian research institutions with other world class research institutes overseas.
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Novel Mathematics and Efficient Computational Techniques for Human Vision
  • 批准号:
    DP220101811
  • 项目类别:
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  • 资助金额:
    $29.66万
  • 财政年份:
    2022
  • 负责人:
    Prof Josef Dick
  • 依托单位:
Quantifying uncertainty: innovations in high dimensional computation
  • 批准号:
    DP150101770
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $25.86万
  • 财政年份:
    2015
  • 负责人:
    Prof Josef Dick
  • 依托单位:
国内基金
海外基金
复杂图像处理中的自由非连续问题及其水平集方法研究
  • 批准号:
    60872130
  • 项目类别:
    面上项目
  • 资助金额:
    28.0万元
  • 批准年份:
    2008
  • 负责人:
    刘国才
  • 依托单位:
Computational Methods for Analyzing Toponome Data