Stability and Robustness of Time-discretization Schemes for the Allen-Cahn Equation via Bifurcation and Perturbation Analysis. [PDF]
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How mathematical models might predict desertification from global warming and dust pollutants. [PDF]
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Perturbed Runge–Kutta Methods for Mixed Precision Applications
Journal of Scientific Computing, 2020In this work we consider a mixed precision approach to accelerate the implementation of multi-stage methods. We show that Runge–Kutta methods can be designed so that certain costly intermediate computations can be performed as a lower-precision ...
Zachary J. Grant
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Diagonally implicit Runge–Kutta methods for stiff ODEs
, 2019Based principally on a recent review of diagonally implicit Runge–Kutta (DIRK) methods applied to stiff first-order ordinary differential equations (ODEs) by the present authors, several nearly optimal, general purpose, DIRK-type methods are presented ...
C. Kennedy, M. Carpenter
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Convolutional neural networks combined with Runge–Kutta methods
Neural computing & applications (Print), 2018A convolutional neural network can be constructed using numerical methods for solving dynamical systems, since the forward pass of the network can be regarded as a trajectory of a dynamical system.
Mai Zhu, B. Chang, Chong Fu
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Runge-Kutta methods for stochastic differential equations
, 1999In this thesis, high order stochastic Runge-Kutta methods are developed for the numerical solution of (Stratonvich) stochastic differential equations and numerical results are presented.
P. Burrage
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Implicit-explicit Runge-Kutta methods for time-dependent partial differential equations
, 1997U. Ascher, Steven J. Ruuth, R. Spiteri
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Stability of Runge-Kutta Methods for Stiff Nonlinear Differential Equations
, 1984K. Dekker, J. Verwer
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The numerical solution of differential-algebraic systems by Runge-Kutta methods
, 1989E. Hairer, C. Lubich, M. Roche
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Runge-Kutta methods in optimal control and the transformed adjoint system
Numerische Mathematik, 2000W. Hager
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