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Scalable Algorithms for Uncertainty Quantification and Bayesian Inference with Applications to Computational Mechanics

Scalable Algorithms for Uncertainty Quantification and Bayesian Inference with Applications to Computational Mechanics
不确定性量化和贝叶斯推理的可扩展算法及其在计算力学中的应用
批准号:
RGPIN-2017-06375
负责人:
Sarkar, Abhijit
金额:
$2.04万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2021
资助国家:
加拿大
项目状态:
已结题
起止时间:
2021-01-01 至 2022-12-31

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中文摘要
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英文摘要
Bayesian Inference; Bayesian Model Selection; Ensemble Kalman Filtering; Flutter; High Performance Computing; Nonlinear Dynamics; Parallel Computing; Particle Filtering; Structural Dynamics; Uncertainty Quantification
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Scalable Algorithms for Uncertainty Quantification and Bayesian Inference with Applications to Computational Mechanics
  • 批准号:
    RGPIN-2017-06375
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.04万
  • 财政年份:
    2022
  • 负责人:
    Sarkar, Abhijit
  • 依托单位:
Scalable Algorithms for Uncertainty Quantification and Bayesian Inference with Applications to Computational Mechanics
  • 批准号:
    RGPIN-2017-06375
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.04万
  • 财政年份:
    2020
  • 负责人:
    Sarkar, Abhijit
  • 依托单位:
Scalable Algorithms for Uncertainty Quantification and Bayesian Inference with Applications to Computational Mechanics
  • 批准号:
    RGPIN-2017-06375
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.04万
  • 财政年份:
    2019
  • 负责人:
    Sarkar, Abhijit
  • 依托单位:
Scalable Algorithms for Uncertainty Quantification and Bayesian Inference with Applications to Computational Mechanics
  • 批准号:
    RGPIN-2017-06375
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.04万
  • 财政年份:
    2018
  • 负责人:
    Sarkar, Abhijit
  • 依托单位:
海外基金