Sample Creation with Latin Hypercube Sampling and Spatial Correlation Using Cholesky Decomposition Algorithm

This source code generates random fields over a square spatial domain. The implementation combines Latin Hypercube Sampling for sample generation with spatial correlation modeling through the Cholesky decomposition algorithm, ensuring both uniform point distribution and accurate correlation structure in the resulting random field.