Monte Carlo Simulation Purpose Provides Monte Carlo methods for uncertainty quantification, integration, and probabilistic analysis. Capabilities - Standard Monte Carlo sampling - Importance sampling - Stratified sampling - Quasi-Monte Carlo (Sobol, Halton sequences) - Markov chain Monte Carlo - Convergence analysis Usage Guidelines 1. Sampling Strategy : Choose appropriate sampling method 2. Sample Size : Determine sufficient sample sizes 3. Variance Reduction : Apply variance reduction techniques 4. Convergence : Monitor convergence diagnostics Tools/Libraries - NumPy - scipy.stats - SALib…