Data‐driven flow‐map models for data‐efficient discovery of dynamics and fast uncertainty quantification of biological and biochemical systems
Computational models are increasingly used to investigate and predict the complex
dynamics of biological and biochemical systems. Nevertheless, governing equations of a …
dynamics of biological and biochemical systems. Nevertheless, governing equations of a …
Tractable global solutions to chance-constrained Bayesian optimal experiment design for arbitrary prior and noise distributions
Optimal experiment design (OED) aims to optimize the information content of experimental
observations by designing the experimental conditions. In Bayesian OED for parameter …
observations by designing the experimental conditions. In Bayesian OED for parameter …
[BOOK][B] Data-Driven Learning and Optimization of Dynamical Systems
G Makrygiorgos - 2023 - search.proquest.com
Dynamical systems analysis and optimization is pivotal for safe, efficient, and resilient
processes that consistently deliver high-quality products. Conventionally, decision-making …
processes that consistently deliver high-quality products. Conventionally, decision-making …