机译:使用海洋总环流模型数据库对稀疏自适应多项式混沌展开进行先验检验
Department of Mechanical Engineering and Materials Science, Duke University, Durham. NC 27708, USA;
Department of Aeronautics and Astronautics, Massachusetts Insitute of Technology, Cambridge, MA 02139, USA;
Department of Mechanical Engineering and Materials Science, Duke University, Durham. NC 27708, USA;
Department of Mechanical Engineering and Materials Science, Duke University, Durham. NC 27708, USA;
Rosenstiel School of Marine and Atmospheric Science, University of Miami, 4600 Rickenbacker Causeway, Miami FL 33149, USA;
Cooperative Institute of Marine and Atmospheric Sciences, Miami. FL 33149, USA,Atlantic Oceanographic and Meteorological Laboratory, Miami, FL 33149, USA;
Department of Aeronautics and Astronautics, Massachusetts Insitute of Technology, Cambridge, MA 02139, USA;
Rosenstiel School of Marine and Atmospheric Science, University of Miami, 4600 Rickenbacker Causeway, Miami FL 33149, USA;
Uncertainty quantification; Polynomial chaos; Sparse Smolyak quadrature; Adaptive sampling; Ocean modeling;
机译:使用海洋总环流模型数据库对稀疏自适应多项式混沌展开进行先验检验
机译:具有典范低秩逼近的多项式元模型:数值分析和稀疏多项式混沌展开式的比较
机译:稀疏贝叶斯学习框架中多项式混沌扩展的高效鲁棒自适应采样方法
机译:具有L_1最小化和顺序采样的高效自适应稀疏多项式混沌展开
机译:用于不确定性量化的多项式混沌扩展的自适应稀疏网格方法。
机译:SPARSE-亚网格平均雷诺应力等效模型:先验封闭测试
机译:利用海洋通用循环模型数据库对稀疏自适应多项式混沌扩张的先验检验