Efficient stochastic asymptotic-preserving scheme for tumor growth models with uncertain parameters

Fuente: arXiv

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Bibliographic Details
Main Authors:	Jiang, Ning, Liu, Liu, Yu, Huimin
Format:	Preprint
Published:	2025
Subjects:	Numerical Analysis 35K55, 35Q92, 35R60, 65C20
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2503.11468