Physics-Informed Learning of Probabilistic Gegenbauer Reconstruction for Transport-Dominated Problems
Transport-dominated problems remain challenging for data-driven methods, which often exhibit severe numerical oscillations near shocks or steep gradients due to globally supported basis functions or overly smooth hypothesis spaces. Gegenbauer reconstruction has shown promise in mitigating such oscillations, but its eff...