Chebyshev HOPGD with Sparse Grid Sampling for Parameterized Linear Systems Analysis
The author proposes a method combining companion linearization and tensor decomposition to construct a reduced order model for parameterized linear systems, offering an efficient way to generate snapshots and accurate models.