ملف الباحث

G. Tartakovsky

ورقة واحدة في مجموعة PaperMetrix

المنشورات

أوراق هذا المؤلف

  1. Physics-Informed Kriging: A Physics-Informed Gaussian Process Regression Method for Data-Model Convergence.

    2018 · arXiv (Cornell University)

    In this work, we propose a new Gaussian process regression (GPR) method: physics-informed Kriging (PhIK). In the standard data-driven Kriging, the unknown function of interest is usually treated as a Gaussian process with assumed stationary …