A soft Lasso model for the motion of a ball falling in the non-Newtonian fluid

DOI10.1016/j.cnsns.2024.107829arXiv2311.06254MaRDI QIDQ6121825

Ran Yang, Zong Min Wu

Publication date: 27 February 2024

Published in: Communications in Nonlinear Science and Numerical Simulation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2311.06254

zbMATH Keywords

non-Newtonian fluidalgebraic differential equationdata-driven modelingsoft Lasso

Mathematics Subject Classification ID

Linear inference, regression (62Jxx) Stochastic processes (60Gxx) Foundations, constitutive equations, rheology, hydrodynamical models of non-fluid phenomena (76Axx)

Cites Work

• Correlation theory of stationary and related random functions. Volume I: Basic results
• Mathematical problems for the next century
• Data-driven modeling for the motion of a sphere falling through a non-Newtonian fluid
• Least angle regression. (With discussion)
• Learning physics by data for the motion of a sphere falling in a non-Newtonian fluid
• New formulations, positivity preserving discretizations and stability analysis for non-Newtonian flow models
• Deterministic Nonperiodic Flow
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