Section: New Software and Platforms

SOFA Optimus

Optimization methods in SOFA: stochastic filtering and data assimilation.

Keywords: Data assimilation - Kalman filter - Stochastic optimization

Functional Description: Optimus is a plugin to work with advanced methods of state estimation and parameter identification. It was created to provide a testing environment for data-driven physics-based modeling (typically finite elements). While currently the plugin implements only stochastic methods based on Kalman filtering, its architecture allows for the implementation of generic prediction–correction schemes where the model is employed as a predictor and correction is performed using given observation data.