Beitrag zur Naherungsweisen Integration Totaler Differentialgleichungen
By W. Kutta
Subfields: Numerical Methods & Scientific Computing
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In Numerical Methods & Scientific Computing
- Matthew J. Johnson
- Colin H. Hansen
- Max Welling
- David Kristjanson Duvenaud
- Amir H. Gandomi
- Xuefeng Chu
- Sarabjeet Singh
- Jacob Kelly
Citations in the corpus
- Message Passing Neural PDE Solvers (2022, methodology): “The temporal solver is an explicit Runge-Kutta 4 solver (Runge, 1895; Kutta, 1901) with adaptive timestepping.”
- Probabilistic ODE Solvers with Runge-Kutta Means (2014, methodology): “Runge-Kutta (RK) methods [9, 10] are standard tools for this purpose.”
- Learning Differential Equations that are Easy to Solve (2020, methodology): “Adaptive-step Runge-Kutta ODE Solvers Runge-Kutta methods (Runge, 1895; Kutta, 1901) approximate the solution trajectories of ODEs through a series of small steps, starting at time t 0 .”
- RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method (2021, methodology): “The proposed algorithm, Runge Kutta optimizer (RUN), was designed according to the foundations of the Runge Kutta method 3 (Kutta, 1901; 1 https://aliasgharheidari.com/SMA.html 2 https://aliasgharheidari.com/HHO.html 3 For a better presentation of the term, we use the term Runge Kutta in this paper…”
- An extensive review of vibration modelling of rolling element bearings with localised and extended defects (2015, methodology): “These are commercial FE packages that use an explicit time integra593 tion scheme [261, 264–274] during the solution phase to solve for time-varying acceleration, velocity, and 594 displacement results.”