PACE: Pareto–AICc Consensus Estimator for Automated λ Selection in SINDy This repository contains MATLAB code for the PACE λ-selection framework used in Sparse Identification of Nonlinear Dynamics (SINDy). Workflow Generate datasets (run once) Datagenerator Run experiments runBatch This performs 200 identification trials and stores results in a .mat file. Optional baseline comparison generate_baselines This step reproduces the baseline comparisons used in the paper. Files buildLibrary.m – library construction computeDerivative.m – derivative estimation stlsq.m – sparse regression tuneLambda.m – PACE λ-selection runSINDyID.m – SINDy identification runBatch.m – batch experiments Datagenerator.m – dataset generation generate_baselines.m – baseline comparison