Optimising energy and overhead for large parameter space simulations.
Alexander J. M. KellMatthew ForshawA. Stephen McGoughPublished in: CoRR (2019)
Keyphrases
- regression model
- parameter space
- image space
- high dimensional
- starting points
- energy consumption
- parameter values
- multivariate data
- likelihood function
- search space
- hough space
- minimum energy
- energy saving
- numerical simulations
- simulation models
- energy efficiency
- riemannian manifolds
- simulation model
- linear transformations
- low energy
- power consumption
- active learning