Results 21 to 30 of about 32,630,588 (240)

Linear Stability Analysis of Runge-Kutta Methods for Singular Lane-Emden Equations

open access: yesJournal of Nigerian Society of Physical Sciences, 2020
Runge-Kutta methods are efficient methods of computations in differential equations, the classical Runge-Kutta method of order 4 happens to be the most popular of these methods, and most times it is attached to the mind when Runge-Kutta methods are ...
M. O. Ogunniran   +3 more
doaj   +1 more source

Stochastic Runge–Kutta methods for multi-dimensional Itô stochastic differential algebraic equations

open access: yesResults in Applied Mathematics, 2021
In this paper, we discuss the numerical solutions to index 1 stochastic differential algebraic equations. We introduce a new class of weak second-order stochastic Runge–Kutta methods for finding the numerical approximate solutions to multi-dimensional ...
Priya Nair, Anandaraman Rathinasamy
doaj   +1 more source

Convergence of an Exponential Runge–Kutta Method for Non-smooth Initial Data

open access: yesEuropean Journal of Pure and Applied Mathematics, 2019
The paper presents error bounds for the second order exponential Runge-Kutta method for parabolic abstract linear time-dependent differential equations incorporating non-smooth initial data. As an example for this particular type of problems, the paper presents a spatial discretization of a partial integro-differential equation arising in financial ...
Gondal, Muhammad Asif   +2 more
openaire   +3 more sources

Strong Stability Preserving Integrating Factor Runge-Kutta Methods [PDF]

open access: yesSIAM Journal on Numerical Analysis, 2017
Strong stability preserving (SSP) Runge-Kutta methods are often desired when evolving in time problems that have two components that have very different time scales.
Leah Isherwood   +2 more
semanticscholar   +1 more source

Extrapolated Implicit–Explicit Runge–Kutta Methods

open access: yesMathematical Modelling and Analysis, 2014
We investigate a new class of implicit–explicit singly diagonally implicit Runge–Kutta methods for ordinary differential equations with both non-stiff and stiff components. The approach is based on extrapolation of the stage values at the current step by
Angelamaria Cardone   +3 more
doaj   +1 more source

On strong stability of explicit Runge–Kutta methods for nonlinear semibounded operators [PDF]

open access: yesIMA Journal of Numerical Analysis, 2018
Explicit Runge–Kutta methods are classical and widespread techniques in the numerical solution of ordinary differential equations (ODEs). Considering partial differential equations, spatial semidiscretizations can be used to obtain systems of ODEs that
Hendrik Ranocha
semanticscholar   +1 more source

Functional continuous Runge–Kutta–Nyström methods

open access: yesElectronic Journal of Qualitative Theory of Differential Equations, 2016
Numerical methods for solving retarded functional differential equations of the second order with right-hand side independent of the function derivative are considered. The approach used by E. Nyström for second-order ordinary differential equations with
Alexey Eremin
doaj   +1 more source

Strong approximation for Itô stochastic differential equations [PDF]

open access: yesIranian Journal of Numerical Analysis and Optimization, 2015
In this paper, a class of semi-implicit two-stage stochastic Runge-Kutta methods (SRKs) of strong global order one, with minimum principal error constants are given.
Mehran Namjoo
doaj   +1 more source

A-stability preserving perturbation of Runge-Kutta methods for stochastic differential equations

open access: yesApplied Mathematics Letters, 2020
The paper is focused on analyzing the linear stability properties of stochastic Runge–Kutta (SRK) methods interpreted as a stochastic perturbation of the corresponding deterministic Runge–Kutta methods.
V. Citro   +2 more
semanticscholar   +1 more source

New class of hybrid explicit methods for numerical solution of optimal control problems [PDF]

open access: yesIranian Journal of Numerical Analysis and Optimization, 2021
Forward-backward sweep method (FBSM) is an indirect numerical method used for solving optimal control problems, in which the differential equation arising from this method is solved by the Pontryagin’s maximum principle.
M. Ebadi, I. Malih Maleki, A. Ebadian
doaj   +1 more source

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