2 papers
math.NA2026
On multi-fidelity methods for a tumor growth model with uncertainties
Huimin Yu, Liu Liu, Yu Feng +1
We develop a hierarchical multi-fidelity (MF) framework for efficient uncertainty quantification of porous-medium equation (PME) tumor growth models with moving free boundaries. Th…
math.OC2026
An Improved Boosted DC Algorithm for Nonsmooth Functions with Applications in Image Recovery
ZeYu Li, Te Qi, TieYong Zeng
We propose a new approach to perform the boosted difference of convex functions algorithm (BDCA) on non-smooth and non-convex problems involving the difference of convex (DC) funct…