What Are the Limitations of Numerical Simulations?
Despite their usefulness, numerical simulations have limitations:
Data Quality: Simulations are only as good as the data they are based on. Inaccurate or incomplete data can lead to misleading results. Model Assumptions: Simplifying assumptions (e.g., homogeneous mixing) may not accurately reflect real-world complexities. Computational Complexity: High-fidelity models can be computationally intensive, requiring significant resources and time.
It is crucial to interpret simulation results cautiously and consider them as one of several tools in the decision-making process.
