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Application of Incremental Proper Orthogonal Decomposition for the Reduction of Very Large Transient Flow Field Data

机译：增量适当正交分解在减少非常大的瞬态流场数据中的应用

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Daiki Matsumoto; Marco Kiewat; Christoph A. Niedermeier; Thomas Indinger;
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1. Application of Incremental Proper Orthogonal Decomposition for the Reduction of Very Large Transient Flow Field Data [J] . Daiki Matsumoto, Marco Kiewat, Christoph A. Niedermeier, International Journal of Automotive Engineering . 2019,第1期

机译：增量式正确正交分解在减少超大瞬态流场数据中的应用
2. Effects of Outlier Flow Field on the Characteristics of In-Cylinder Coherent Structures Identified by Proper Orthogonal Decomposition-Based Conditional Averaging and Quadruple Proper Orthogonal Decomposition [J] . Gao Rui, Shen Li, Teh Kwee-Yan, Journal of Engineering for Gas Turbines and Power . 2019,第8期

机译：离群流场对基于正交分解的条件平均和四倍正交分解确定的缸内相干结构特性的影响
3. Effects of Outlier Flow Field on the Characteristics of In-Cylinder Coherent Structures Identified by Proper Orthogonal Decomposition-Based Conditional Averaging and Quadruple Proper Orthogonal Decomposition [J] . Gao Rui, Shen Li, Teh Kwee-Yan, Journal of Engineering for Gas Turbines and Power . 2019,第8期

机译：异常流域对基于正交分解的条件平均值和四重正交分解识别的缸内相干结构特征的影响
4. Reduction of transient flow field data using Incremental Proper Orthogonal Decomposition [C] . Daiki Matsumoto, Marco Kiewat, Christoph Niedermeier, 自動車技術会大会 . 2018

机译：使用增量正确正交分解减少瞬态流场数据
5. Model Reduction via Proper Orthogonal Decomposition of Transient Confined and Unconfined Groundwater-Flow [D] . Boyce, Scott Elliott 2015

机译：通过适当的正交分解来进行模型分析
6. Bridging Proper Orthogonal Decomposition methods and augmented Newton-Krylov algorithms: an adaptive model order reduction for highly nonlinear mechanical problems [O] . P. Kerfriden, P. Gosselet, S. Adhikari, -1

机译：桥接适当的正交分解方法和增强牛顿-Krylov算法：高度非线性机械问题的自适应模型顺序降低
7. Preconditioned dynamic mode decomposition and mode selection algorithms for large datasets using incremental proper orthogonal decomposition [O] . Yuya Ohmichi 2017

机译：使用增量正交正交分解的大数据集预处理动态模式分解和模式选择算法

Application of Incremental Proper Orthogonal Decomposition for the Reduction of Very Large Transient Flow Field Data

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