The author introduces time-limited and frequency-limited model order reduction scenarios for linear systems with quadratic outputs, proposing algorithms to ensure accuracy within specified intervals.
Root mean squared error measures are efficiently modeled using interpolatory techniques for large-scale dynamical systems.
Proposing a novel framework for handling hyperbolic problems with multiple travelling discontinuities through calibration-based model order reduction.
Constructing reduced-order models for linear systems with quadratic outputs within specific time and frequency intervals.
Efficient model order reduction for linear systems with quadratic outputs in time and frequency-limited scenarios.