Relationship between time-instant number and precision of ZeaD formulas with proofs

DOI10.1007/s11075-020-01061-xzbMath1491.65076OpenAlexW3159834760WikidataQ113900682 ScholiaQ113900682MaRDI QIDQ820734

Min Yang, Hai-feng Hu, Yu-Nong Zhang

Publication date: 27 September 2021

Published in: Numerical Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11075-020-01061-x

zbMATH Keywords

finite difference formulastime-varying optimizationconvergent difference formulasprecision of finite difference formulastime-instant numbertime-varying matrix algorithmtime-varying matrix problemsZhang neural networks

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Numerical methods for initial value problems involving ordinary differential equations (65L05) Basic linear algebra (15A99) Numerical methods for ordinary differential equations (65L99) General theory of difference equations (39A05)

Related Items (1)

Discrete generalized-Sylvester matrix equation solved by RNN with a novel direct discretization numerical method

Cites Work

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