Local sensitivity analysis is a method used to determine how small changes in the input parameters of a mathematical model affect its output. It focuses on analyzing the behavior of the model in the vicinity of a specific point, providing insight into which variables have the most influence on the results. This technique is crucial for understanding uncertainty and variability in models, making it easier to identify critical factors that drive system behavior.
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