Non-linear model reduction for the Navier-Stokes equations using residual DEIM method.
Dunhui XiaoFangxin FangAndrew G. BuchanChristopher C. PainIonel Michael NavonJuan DuG. HuPublished in: J. Comput. Phys. (2014)
Keyphrases
- theoretical analysis
- computational model
- probabilistic model
- statistical model
- mathematical model
- objective function
- sensitivity analysis
- similarity measure
- prediction model
- reduction method
- cost function
- test data
- prior knowledge
- evaluation method
- modeling method
- tree structure
- input data
- bayesian framework
- classification method
- network model
- linear model
- study proposes
- bp neural network
- analytical model
- optimization model
- monte carlo simulation
- prior information
- high order
- dynamic programming
- em algorithm
- optimization method
- statistical methods
- preprocessing
- detection method
- reconstruction method
- hybrid model
- regression analysis
- hybrid method
- high accuracy
- semi parametric
- significant improvement
- support vector machine
- markov model
- autoregressive
- maximum likelihood
- parameter estimation
- segmentation method
- classification algorithm
- closed form