Results 11 to 20 of about 81,957 (247)

Parallelization of Runge–Kutta Methods for Hardware Implementation

open access: yesComputation, 2022
Parallel numerical integration is a valuable tool used in many applications requiring high-performance numerical solvers, which is of great interest nowadays due to the increasing difficulty and complexity in differential problems.
Petr Fedoseev   +4 more
doaj   +1 more source

Numerical Simulation of Fuzzy Volterra Integro-differential ‎Equation using Improved Runge-Kutta Method [PDF]

open access: yesJournal of Applied and Computational Mechanics, 2023
In this research, fourth-order Improved Runge-Kutta method with three stages for solving fuzzy Volterra integro-differential (FVID) equations of the second kind under the concept of generalized Hukuhara differentiability is proposed. The advantage of the
Faranak Rabiei   +6 more
doaj   +1 more source

Optimum Runge-Kutta methods [PDF]

open access: yesMathematics of Computation, 1964
The optimum Runge-Kutta method of a particular order is the one whose truncation error is a minimum. Various measures of the size of the truncation error are considered. The optimum method is practically independent of the measure being used. Moreover, among methods of the same order which one might consider using the difference in size of the ...
Hull, T. E., Johnston, R. L.
openaire   +1 more source

Conservative Continuous-Stage Stochastic Runge–Kutta Methods for Stochastic Differential Equations

open access: yesFractal and Fractional, 2023
In this paper, we develop a new class of conservative continuous-stage stochastic Runge–Kutta methods for solving stochastic differential equations with a conserved quantity. The order conditions of the continuous-stage stochastic Runge–Kutta methods are
Xiuyan Li   +3 more
doaj   +1 more source

Construction of Two-Derivative Runge–Kutta Methods of Order Six

open access: yesAlgorithms, 2023
Two-Derivative Runge–Kutta methods have been proposed by Chan and Tsai in 2010 and order conditions up to the fifth order are given. In this work, for the first time, we derive order conditions for order six.
Zacharoula Kalogiratou   +1 more
doaj   +1 more source

ANALYSIS OF THE SPRUCE BUDWORM MODEL USING THE HEUN METHOD AND THIRD-ORDER RUNGE-KUTTA

open access: yesBarekeng, 2022
This study discusses the analysis of the Spruce Budworm model using numerical methods, namely the Heun method and the Third Order Runge-Kutta method.  The purpose of this study is to determine the numerical results of the Heun method and the Third Order ...
Irwan Irwan   +4 more
doaj   +1 more source

Positivity-preserving adaptive Runge–Kutta methods [PDF]

open access: yesCommunications in Applied Mathematics and Computational Science, 2021
Many important differential equations model quantities whose value must remain positive or stay in some bounded interval. These bounds may not be preserved when the model is solved numerically. We propose to ensure positivity or other bounds by applying Runge-Kutta integration in which the method weights are adapted in order to enforce the bounds.
Nüsslein, Stephan   +2 more
openaire   +4 more sources

Solving Oscillating Problems Using Modifying Runge-Kutta Methods

open access: yesIbn Al-Haitham Journal for Pure and Applied Sciences, 2021
This paper develop conventional Runge-Kutta methods of order four and order five to solve ordinary differential equations with oscillating solutions.
Zainab Khaled Ghazal   +1 more
doaj   +1 more source

Different approaches in GLONASS orbit computation from broadcast ephemeris [PDF]

open access: yesGeodetski Vestnik, 2016
Several types of methods can solve equations of satellite motion numerically. These methods are divided into single and multi-step methods. The accuracy of each method depends directly on adopted integration step size between successive iterations.
Kamil Maciuk
doaj   +1 more source

Improved Runge-Kutta Method for Oscillatory Problem Solution Using Trigonometric Fitting Approach

open access: yesIbn Al-Haitham Journal for Pure and Applied Sciences, 2023
This paper provides a four-stage Trigonometrically Fitted Improved Runge-Kutta (TFIRK4) method of four orders to solve oscillatory problems, which contains an oscillatory character in the solutions.
Kasim A. Hussain, Waleed J. Hasan
doaj   +1 more source

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