Optimization-based prediction of fold bifurcations in nonlinear ODE models
Optimization-based prediction of fold bifurcations in nonlinear ODE models is a scholarly work, published in 2018 in ''IFAC Proceedings Volumes''. The main subjects of the publication include Bifurcation, computer science, electronic circuit topology, G protein-coupled recepteishon, control theory, gene expression, ordinary differential equation, mathematical optimization, dynamical systems theory, nonlinear system, differential equation, applied mathematics, mathematics, metabolic engineering, and ode. The authors illustrate the capabilities and efficiency of the method through an example of biological relevance, the transcriptional network controlling adipogenesis, finding the conditions for an irreversible switch that causes the conversion of preadipocytes into adipocytes responsible of lipid accumulation.