Least squares and Chebyshev fitting for parameter estimation in ODEs.
Jack WilliamsZ. KalogiratouPublished in: Adv. Comput. Math. (1993)
Keyphrases
- parameter estimation
- least squares
- model fitting
- statistical models
- curve fitting
- ordinary differential equations
- approximate inference
- optical flow
- posterior distribution
- random fields
- robust estimation
- parameter values
- parameter estimation algorithm
- structure learning
- parameters estimation
- estimation problems
- maximum likelihood estimation
- motion parameters
- partial differential equations