Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/727
Title: Predictor–corrector methods of high order for numerical integration of initial value problems
Authors: Ndanusa, Abdulrahman
Tafida, Fatima Umar
Keywords: Predictor – corrector method, Linear multistep method, Runge – kutta method, Stability, Adams – Bashforth method.
Issue Date: 2016
Publisher: International Journal of Scientific and Innovative Mathematical Research (IJSIMR)
Citation: A. Ndanusa and F. U. Tafida (2016). Predictor - corrector methods for numerical integration of initial value problems. International Journal of Scientific and Innovative Mathematical Research (IJSIMR), 4(2): 47-55. DOI: http://dx.doi.org/10.20431/2347-3142.0402009
Abstract: Two tenth order implicit linear multistep methods are derived after applying appropriate order conditions to the Taylor series approach in the derivation of linear multistep methods. Each of the derived schemes is further combined with an Adams – Bashforth scheme of order ten to form two separate predictor – corrector pairs for numerical integration of initial value problems of ordinary differential equations. A tenth order Runge – Kutta method is further employed in order to generate the necessary starting values typical of linear multistep methods. The derived schemes are proven to be convergent by satisfying both consistency and zero – stability requirements. Numerical examples are further carried out to ascertain their efficiency and effectiveness.
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/727
ISSN: ISSN 2347-3142
Appears in Collections:Mathematics

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