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Algorithms and lower bounds for monotone dualization and tensor decomposition of constraint satisfaction hypergraphs

Algorithms and lower bounds for monotone dualization and tensor decomposition of constraint satisfaction hypergraphs
约束满足超图的单调对偶化和张量分解的算法和下界
批准号:
576241-2022
负责人:
Gaur, DayaDR
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Alliance Grants
财政年份:
2022
资助国家:
加拿大
项目状态:
已结题
起止时间:
2022-01-01 至 2023-12-31

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中文摘要
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英文摘要
We use computational tools every day to solve optimization problems in all areas of life, including supply chain management and disaster evacuations and planning. This research will improve the efficiency of the underlying computational tools used by the industry. As part of this research, we will develop efficient methods for constraint satisfaction. In turn, we will be able to plan, manage and search for efficiencies better. This research will lead to a new international research partnership between Canada and UK.
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Quantum Approaches to Optimize Electrical Grid Operations
  • 批准号:
    576688-2022
  • 项目类别:
    Alliance Grants
  • 资助金额:
    $1.82万
  • 财政年份:
    2022
  • 负责人:
    Gaur, DayaDR
  • 依托单位:
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