- Modeling tools
- Modeling Tools
In this article, we develop a new methodology, Hybrid-Sparse Identification of Nonlinear Dynamics (Hybrid-SINDy), which identifies separate nonlinear dynamical regimes, employs information theory t
We develop a new generalization of Koopman operator theory that incorporates the effects of inputs and control.
Containing the recent West African outbreak of Ebola virus (EBOV) required the deployment of substantial global resources.
We propose an alternative data-driven method to infer networked nonlinear dynamical systems by using sparsity-promoting optimization to select a subset of nonlinear interactions representing dynam
We review standard model reduction techniques such as Proper Orthogonal Decomposition (POD) with Galerkin projection and Balanced POD (BPOD).
Using recent advances in sparsity-promoting techniques, we present a novel algorithm to solve this sparse sensor placement optimization for classification (SSPOC) that exploits low-dimensional str
Traditional methods for estimating malaria transmission based on mosquito sampling are not standardized and are unavailable in many countries in sub-Saharan Africa.
The eradication of diseases has long been a focus of the global health community and researchers in epidemiology and other related fields.
This work develops compressive sampling strategies for computing the dynamic mode decomposition (DMD) from heavily subs