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Average Case and Probabilistic Settings of Information-Based Complexity

Average Case and Probabilistic Settings of Information-Based Complexity
基于信息的复杂性的平均情况和概率设置
批准号:
8905371
负责人:
Joseph Traub
金额:
$14.36万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1989
资助国家:
美国
项目状态:
已结题
起止时间:
1989-09-01 至 1992-08-31

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中文摘要
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英文摘要
The is a continuation of the principal investigator's previous research on the average case and probabilistic settings of information-based complexity. Three new research directions will be followed in this investigation. The first is an investigation when intractability or noncomputability in the deterministic worst case setting can be avoided by using randomness or by using average case and probabilistic settings. The second is space complexity for problems with massive amounts of data. The final new direction is the study of optimal algorithms and complexity for nonlinear problems in the average case setting.
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Tractability of High Dimensional Problems for Quantum and Classical Computers
  • 批准号:
    1215987
  • 项目类别:
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  • 资助金额:
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  • 财政年份:
    2012
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Tractability of High Dimensional Problems for Quantum and Classical Computers
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    0914345
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Quantum and Classical Complexity of Continuous Problems
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    0829537
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    2008
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Quantum and Classical Complexity of Multivariate Problems
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    0608727
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    Standard Grant
  • 资助金额:
    $39.81万
  • 财政年份:
    2006
  • 负责人:
    Joseph Traub
  • 依托单位:
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