A fast and convergent combined Newton and gradient descent method for computing steady states of chemical reaction networks.
Silvia BerraAlessandro La TorracaFederico BenvenutoSara SommarivaPublished in: CoRR (2022)
Keyphrases
- cost function
- detection method
- experimental evaluation
- high accuracy
- chemical reaction
- significant improvement
- segmentation method
- complex networks
- dynamic programming
- least squares
- synthetic data
- optimization method
- prior knowledge
- probabilistic model
- objective function
- linear programming
- input data
- preprocessing
- high precision
- computational complexity