Identification of parameters for large-scale kinetic models

DOI10.1016/j.jcp.2020.110026OpenAlexW3107157582MaRDI QIDQ2120051

Roby Poteau, Ugur G. Abdulla

Publication date: 31 March 2022

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1904.07197

zbMATH Keywords

parameter estimationsuperlinear convergencekinetic modelsnonlinear ODEscarbon metabolism of Escherichia colithree step metabolic network

Mathematics Subject Classification ID

Mathematical programming (90Cxx) General theory for ordinary differential equations (34Axx) Controllability, observability, and system structure (93Bxx)

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Uses Software

• Matlab
• SUNDIALS
• Schittkowski
• fmincon
• lsqnonlin
• AMIGO
• Data2Dynamics
• PESTO
• BioPreDyn-bench
• EvA2

Cites Work

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• SUNDIALS
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• Quasilinearization and inverse problems for nonlinear control systems
• Recent developments in parameter estimation and structure identification of biochemical and genomic systems
• Robust estimation of parameters in nonlinear ordinary differential equation models
• Stochastic global optimization.
• A regularizing Levenberg - Marquardt scheme, with applications to inverse groundwater filtration problems
• Introduction to Derivative-Free Optimization
• Inverse problems in systems biology
• An Interior Trust Region Approach for Nonlinear Minimization Subject to Bounds
• Metaheuristics for Hard Optimization

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