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A special family of parameter dependent nested hybrid multistep methods for stiff ODEs

International Journal of Physics and Applications · 2019 · Vol. 1(2) · pp. 39–46

Abstract

In this paper, we introduce a special family of parameter dependent nested hybrid linear multistep methods (PDNHLMMs) for the numerical integration of stiff initial value problems (IVPs) in ordinary differential equations (ODEs). Hybrid method is incorporating one or more off-step points for better stability properties and higher order than the conventional linear multistep methods (LMM). This type of methods provides a means of bypassing the Dahlquist order and stability barrier of the conventional LMM. The proposed method is A- stable and A (α) –stable for step number k ≤ 6. Numerical experiment shows that the new parameter dependent formulae compete favorably well with other existing methods in the literature.

Numerical methods for differential equationsModel Reduction and Neural NetworksExtremum Seeking Control SystemsLinear multistep methodOdeOrdinary differential equationStability (learning theory)Applied mathematicsMathematicsNumerical methods for ordinary differential equationsInitial value problemBackward differentiation formulaDifferential (mechanical device)
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