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Efficient Algorithms for Large Scale Dynamical Systems

Efficient Algorithms for Large Scale Dynamical Systems
大规模动力系统的高效算法
批准号:
9912415
负责人:
Kyle Gallivan
金额:
$24.28万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2000
资助国家:
美国
项目状态:
已结题
起止时间:
2000-09-15 至 2004-08-31

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中文摘要
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英文摘要
This grant will develop novel high performance numerical algorithms and codes for critical problems in large dynamical systems. This includes reducing models to fewer degrees of freedom, better eigenvalue solvers, and parallel implementations. This project has applications ranging from control systems to electric power systems, circuit simulations, earth sciences (meterology, hydrology), and filtering.This is a joint project together with CCR-9912388 by Ahmed Sameh of Purdue University.
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Collaborative Research: CIBR: CloudForest: A Portable Cyberinfrastructure Workflow To Advance Biological Insight from Massive, Heterogeneous Phylogenomic Datasets
  • 批准号:
    1934157
  • 项目类别:
    Standard Grant
  • 资助金额:
    $23.16万
  • 财政年份:
    2019
  • 负责人:
    Kyle Gallivan
  • 依托单位:
Collaborative Research: ABI Innovation: Quantifying and Exploiting the Structure of Phylogenetic Tree Space Through Network Analyses
  • 批准号:
    1262476
  • 项目类别:
    Standard Grant
  • 资助金额:
    $25.6万
  • 财政年份:
    2013
  • 负责人:
    Kyle Gallivan
  • 依托单位:
ITR/AP: Collaborative Research: Model Reduction of Dynamical Systems for Real Time Control
  • 批准号:
    0324944
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $41.45万
  • 财政年份:
    2003
  • 负责人:
    Kyle Gallivan
  • 依托单位:
High Performance Computing for Large Scale Systems
海外基金