摘要

We propose a new method for sampling from a stationary Gaussian random field on a grid which is not regular but has a regular block structure, which is often the case in applications. The introduced block-circulant embedding method (BCEM) can outperform the classical circulant embedding method (CEM), which requires a regularization of the irregular grid before its application. Comparison of BCEM vs CEM is performed on typical model problems.

  • 出版日期2015