A Linearized Crank-Nicolson-Galerkin Method for the Ginzburg-Landau Model.
Mo MuPublished in: SIAM J. Sci. Comput. (1997)
Keyphrases
- statistical model
- probabilistic model
- theoretical analysis
- mathematical model
- analytical model
- parameter estimation
- hybrid model
- cost function
- objective function
- em algorithm
- monte carlo simulation
- sensitivity analysis
- regression analysis
- hybrid method
- markov model
- study proposes
- optimization model
- evaluation method
- modeling method
- high order
- closed form
- energy function
- linear model
- evaluation model
- statistical methods
- gaussian distribution
- reconstruction method
- classification algorithm
- bp neural network
- prediction model
- pairwise
- high accuracy
- significant improvement
- prior knowledge
- computational model
- preprocessing
- bayesian networks
- similarity measure
- image segmentation
- support vector machine svm
- network model
- parameter space
- prior information
- optimization method
- monte carlo
- kalman filter
- neural network
- test data
- classification method