Data-driven modeling for the motion of a sphere falling through a non-Newtonian fluid

DOI10.4310/CMS.2018.v16.n2.a6zbMath1390.34160MaRDI QIDQ1749579

Xianqiang Yang

Publication date: 17 May 2018

Published in: Communications in Mathematical Sciences (Search for Journal in Brave)

zbMATH Keywords

non-Newtonian fluidsparsityjerkdata-driven modelingfalling spheredifferential/algebraic equation (DAE)

Mathematics Subject Classification ID

Non-Newtonian fluids (76A05) Implicit ordinary differential equations, differential-algebraic equations (34A09) Applications to the sciences (65Z05) Numerical methods for differential-algebraic equations (65L80) Qualitative investigation and simulation of ordinary differential equation models (34C60) Numerical chaos (65P20)

Related Items (4)

High order multiquadric trigonometric quasi-interpolation method for solving time-dependent partial differential equations ⋮ A soft Lasso model for the motion of a ball falling in the non-Newtonian fluid ⋮ Learning physics by data for the motion of a sphere falling in a non-Newtonian fluid ⋮ Probabilistic solutions to DAEs learning from physical data

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