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Bottleneck Problems: Analysis and Approximations

Bottleneck Problems: Analysis and Approximations
瓶颈问题:分析和近似
批准号:
8501988
负责人:
Dorit Hochbaum
金额:
$11.31万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
1985
资助国家:
美国
项目状态:
已结题
起止时间:
1985-07-01 至 1988-12-31

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中文摘要
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英文摘要
This research will concentrate on two approaches for analyzing the effectiveness of algorithms for a class of significant hard optimization problems -- the bottleneck problems -- with applications to location theory, routing, and communication network design. These approaches are probabilistic analysis of heuristic algorithms, and worst case analysis of heuristic algorithms. Although these approaches are often considered theoretical in nature, they can have profound practical implications. Currently, algorithm design is largely an ad hoc procedure, whether the goal is to analyze the algorithm based on its expected or worst case performance, or to provide bounding procedures within a branch-and-bound context. The aims of this research are to study the bottleneck problems from several different viewpoints and to devise unified techniques rather than separate, haphazard problem-dependent methods.
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A Graph Theoretic Approach for Spatial Dependence in Quality Control and Prediction
  • 批准号:
    1760102
  • 项目类别:
    Standard Grant
  • 资助金额:
    $39.88万
  • 财政年份:
    2018
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    1130662
  • 项目类别:
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  • 资助金额:
    $32.5万
  • 财政年份:
    2011
  • 负责人:
    Dorit Hochbaum
  • 依托单位:
Novel Efficient Clustering Techniques for Data Mining, Ranking, Pattern Recognition and Segmentation of Large Scale Data Sets
  • 批准号:
    1200592
  • 项目类别:
    Standard Grant
  • 资助金额:
    $32.5万
  • 财政年份:
    2011
  • 负责人:
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  • 依托单位:
New Optimization Techniques in Data Mining
  • 批准号:
    0620677
  • 项目类别:
    Standard Grant
  • 资助金额:
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  • 财政年份:
    2006
  • 负责人:
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  • 依托单位:
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