Pipe roughness identification of water distribution networks: a tensor method

DOI10.1016/j.amc.2021.126601OpenAlexW3203159390MaRDI QIDQ2246436

Martin Steinberger, Martin Horn, Stefan Kaltenbacher

Publication date: 16 November 2021

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1910.13306

zbMATH Keywords

tensor methodwater distribution networksnumerical root findingroughness calibration

Mathematics Subject Classification ID

Mathematical programming (90Cxx) Nonlinear algebraic or transcendental equations (65Hxx) Geometry (51-XX)

Related Items (1)

Finite-time zeroing neural networks with novel activation function and variable parameter for solving time-varying Lyapunov tensor equation

Cites Work

• Tensor methods for large sparse systems of nonlinear equations
• Transitional water flow in steady-state
• Pipe roughness identification of water distribution networks: the full turbulent case
• Computational implementation of the multivariate Halley method for solving nonlinear systems of equations
• A Geometric Interpretation of the Solution of the General Quartic Polynomial
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