Complex reaction networks can be simplified using various techniques:
Lumped parameter models: These reduce the number of variables by grouping similar species or reactions together. Steady-state approximation: This assumes that the concentration of intermediate species remains constant over time. Sensitivity analysis: This identifies the most critical parameters that influence the network's behavior, allowing for targeted optimization.