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"

Karhunen-Loève expansion for approximation in functions spaces

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

[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 finite element method for 2D Poisson and 3D Elasticity problems.

A library to compute optical bases for a given set of points in 2D space. Main application is intended for adaptive optics, with support for Zernike, KL, Zonal, and Hadamard bases.

Stochastic sampling and statistical response analysis of systems with uncertain parameters