Dimension reduced surrogate construction for parametric PDE maps

Codes and data for the paper "Physics-Informed Machine Learning Method for Large-Scale Data Assimilation Problems"

R package for Partially Separable Multivariate Functional Data and Functional Graphical Models

Karhunen-Loève expansion for approximation in functions spaces

[StochasticSlipGenerator] Some python,matlab and linux codes for stochastic slips and tsunami generationgeneration

Codes and data for the paper "Gaussian Process Regression and Conditional Karhunen-Loève Models for Data Assimilation in Inverse Problems"

Stochastic sampling and statistical response analysis of systems with uncertain parameters