Lawrence Livermore National Security, LLC

Virginia Tech Intellectual Properties Inc

Charles Tong

Liang Min

Charanraj Thimmisetty

Can Huang

Xiao Chen

Yijun Xu

Lamine Mili

Techniques, systems, and devices are described for providing a computational frame for estimating high-dimensional stochastic behaviors. In one exemplary aspect, a method for performing numerical estimation includes receiving a set of measurements of a stochastic behavior. The set of correlated measurements follows a non-standard probability distribution and is non-linearly correlated. Also, a non-linear relationship exists between a set of system variables that describes the stochastic behavior and a corresponding set of measurements. The method includes determining, based on the set of measurements, a numerical model of the stochastic behavior. The numerical model comprises a feature space comprising non-correlated features corresponding to the stochastic behavior. The non-correlated features have a dimensionality of M and the set of measurements has a dimensionality of N, M being smaller than N. The method includes generating a set of approximated system variables corresponding to the set of measurements based on the numerical model.

Computational framework for modeling of physical process

Growing community of inventors

Danville, CA, United States of America

Charles Tong