Abstract
Runge - Kutta methods are one of the best methods for numerically solving (ODEs), and the search for better methods is always up to date [1]. Our concern here is with present a new method for solving Initial Value Problems (IVPs) using a mixing between techniques and formulas and obtain a new formula suitable for parallel computers, (see [2]). As we know a first step toward developing a parallel algorithm for the numerical solution of Initial Value Problems (IVPs), how we might widen the front of computation .The predictor – corrector (PC) methods of numerical integration provide a means for doing this, (see [3,4]) ."Evans Introduce a new Runge - Kutta method using the Geometric mean (GM) formula [5]" (see [6]). Here we collected these ideas and using the Implicit Runge - Kutta methods (IRK) which can be derived directly from Explicit Runge - Kutta methods (ERK) , these implicit methods “ that were derived “ , it is "the (backward) form of the explicit (forward) form [7]", to present our new parallel method which we called (PPCGM2) formula.
Highlights
Runge - Kutta methods are one of the best methods for numerically solving (ODEs), and the search for better methods is always up to date [1]
As we know a first step toward developing a parallel algorithm for the numerical solution of Initial Value Problems (IVPs), how we might widen the front of computation .The predictor – corrector (PC) methods of numerical integration provide a means for doing this, ."Evans Introduce a new Runge - Kutta method using the Geometric mean (GM) formula [5]"
Analysis the stability of PPCGM2 : The important advantage of Runge - Kutta methods that they are stable, when we have a good quite of stability, "if we take a suitable small step size h"
Summary
Runge - Kutta methods are one of the best methods for numerically solving (ODEs), and the search for better methods is always up to date [1]. التخمين والترحيح واستخدام المتهسط الهندسي لظريقة رنج كتا التقليدية كذلك استخدمنا اسلهب .تعريض جبهة الحداب لإيجاد طريقة متهازية جديدة Our concern here is with present a new method for solving Initial Value Problems (IVPs) using a mixing between techniques and formulas and obtain a new formula suitable for parallel computers, (see [2]). As we know a first step toward developing a parallel algorithm for the numerical solution of Initial Value Problems (IVPs), how we might widen the front of computation .The predictor – corrector (PC) methods of numerical integration provide a means for doing this, (see [3,4]) ."Evans Introduce a new Runge - Kutta method using the Geometric mean (GM) formula [5]" (see [6]).
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