Open AccessRunge-Kutta methods for linear semi-explicit operator differential-algebraic equations
Author(s) -
Robert Altmann,
Christoph Zimmer
Publication year - 2017
Publication title -
mathematics of computation
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.95
H-Index - 103
eISSN - 1088-6842
pISSN - 0025-5718
DOI - 10.1090/mcom/3270
Subject(s) - mathematics , discretization , runge–kutta methods , convergence (economics) , operator (biology) , algebraic equation , algebraic number , differential operator , smoothness , stability (learning theory) , mathematical analysis , differential equation , nonlinear system , computer science , biochemistry , chemistry , physics , repressor , quantum mechanics , machine learning , transcription factor , economics , gene , economic growth
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