Least-Squares Padé approximation of parametric and stochastic Helmholtz maps.
Francesca BonizzoniFabio NobileIlaria PerugiaDavide PradoveraPublished in: Adv. Comput. Math. (2020)
Keyphrases
- least squares
- discrete random variables
- stage stochastic programs
- approximation schemes
- monte carlo sampling
- semi parametric
- policy evaluation
- robust estimation
- approximation algorithms
- sparse linear
- relative error
- error bounds
- parameter estimation
- optical flow
- closed form
- stochastic optimization
- approximation error
- learning automata
- data sets
- genetic algorithm
- stochastic programming
- levenberg marquardt
- stochastic processes
- error tolerance
- stochastic model
- parametric models
- matrix approximation
- monte carlo