Solution of the Boltzmann Transport Equation via Numerical Tensor Methods

High-dimensional partial-differential equations (PDEs) arise in a number of fields of science and engineering, where they are used to describe the evolution of joint probability functions. Due to the curse of dimensionality these kind of equations are notoriously hard to solve. We develop a new parallel algorithm to solve high-dimensional PDEs and apply it to the Boltzmann Transport Equation (BTE). The algorithm uses an implicit time integration scheme and is based on canonical numerical tensor methods combined with alternating least squares. We demonstrate the accuracy and efficiency of the proposed new algorithm in computing the numerical solution to a linearized version of the Boltzmann Transport Equation in six variables plus time.