A Continuation Method for the Efficient Solution of Parametric Optimization Problems in Kinetic Model Reduction.
Dirk LebiedzJochen SiehrPublished in: SIAM J. Sci. Comput. (2013)
Keyphrases
- mathematical model
- cost function
- objective function
- probabilistic model
- statistical model
- closed form
- regression analysis
- optimization method
- reduction method
- evaluation method
- study proposes
- modeling method
- theoretical analysis
- hybrid model
- computationally efficient
- input data
- bp neural network
- approximation methods
- detection method
- reconstruction method
- optimization problems
- sensitivity analysis
- similarity measure
- gaussian distribution
- linear regression
- monte carlo simulation
- linear model
- prior information
- classification method
- prior knowledge
- iterative procedure
- parameter estimation
- experimental data
- optimization criteria
- significant improvement
- dynamic programming
- probability distribution
- control policy
- optimization methods
- recognition algorithm
- prediction model
- energy function
- tree structure
- high order
- fuzzy linear programming
- optimization model
- evaluation model
- decision trees
- parametric models
- autoregressive
- bayesian framework
- parameter space
- test data
- clustering method
- optimization algorithm
- em algorithm
- pairwise
- image sequences