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Numerical Simulation of the Fused Deposition Modeling for the Manufacturing of Parts with both High Geometric Fidelity and Mechanical Quality
Specific Implementations of Symplectic Numerical Methods. Symplectic conditions are given for the partitioned Runge–Kutta and Runge–Kutta–Nystr̈om methods. The specific
Periodic solutions of difference Runge-Kutta schemesPeriodic solutions of difference Runge-Kutta schemes
The Condition of Explicitness and the Diagonal Implicitness for Composition of Runge-Kutta Method with its Adjoint OneThe paper addresses three topics: the adjoint Runge-Kutta methods, the composition of several Runge
Statistically significant comparative performance testing of julia and fortran languages in case of runge–kutta methodsIn this paper we compare the performance of classical Runge–Kutta methods implemented in Fortran
Implementation of stochastic Runge-Kutta methods in Sage CASImplementation of stochastic Runge-Kutta methods in Sage CAS
The symbolic problems associated with Runge-Kutta methods and their solving in SageRunge-Kutta schemes play a very important role in solving ordinary differential equations
The symbolic problems associated with Runge-Kutta methods and their solving in SageRunge-Kutta method(RKM) plays a very important role in solving ordinary differential equations
Stochastic runge-kutta software package for stochastic differential equations to apply stochastic Runge-Kutta methods for numerical study of stochastic differential equations
USING RICHARDSON EXTRAPOLATION TO IMPROVE THE ACCURACY OF PROCESSING AND ANALYZING EMPIRICAL DATA uses
Richardson extrapolation and Runge rules for kernel estimates with various smoothing options
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