Mathematical Methods in the Applied Sciences · 2020 · 18 citations · 33 references
Natural SciencesMathematicsPhysicsComputational MechanicsComputational PhysicsDifferential EquationsInitial Value ProblemsNumerical AlgorithmsNumerical AnalysisNumerical IntegrationNumerical Methods For Differential EquationsTime IntegrationDifferential Equation SolversInitial Value Problem SolversNumerical Methods For Initial Value ProblemsStiff Initial Value Problems
We consider the mildly stiff and stiff inhomogeneous linear initial value Problems sharing constant coefficients. Exponential Runge–Kutta methods are considered to tackle this problem. For this type of problem, we were able to save a function evaluation (stage) per step compared to the best available methods. This is important, as seen in various computational experiments where our current approach outperforms older ones.
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