xuc1998/PATPEM-SMC-Algorithm: PATPEMS v1-1-1 – MATLAB implementation and case-study examples

First public release of the PATPEM-SMC MATLAB package. This version contains: Core implementation of the PATPEM-SMC tempered Sequential Monte Carlo algorithm (PATPEM_SMC.m and supporting operators: ARM, crossover, DE-MH, tempering, resampling). Installation script install_PATPEM_SMC.m. Four fully configured case-study examples: Example 1: 2-D 20-mode Gaussian mixture (multi-modal benchmark). Example 2: 100-D bimodal Gaussian (high-dimensional benchmark). Example 3: Synthetic CoLM calibration (6-parameter, no model–data mismatch). Example 4: Real-world CoLM calibration at the Arou site. Basic plotting and diagnostic utilities for ESS, rCESS, log-evidence, acceptance rates, and marginal/posterior visualisation. Requirements: MATLAB R2020b or later (tested on R2022a). Parallel Computing Toolbox (optional, for parallel execution).