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dc.contributor.authorNdanusa, Abdulrahman-
dc.contributor.authorTafida, Fatima Umar-
dc.date.accessioned2021-06-01T23:01:59Z-
dc.date.available2021-06-01T23:01:59Z-
dc.date.issued2016-
dc.identifier.citationA. 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/10.20431/2347-3142.0402009en_US
dc.identifier.issnISSN 2347-3142-
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/727-
dc.description.abstractTwo 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.en_US
dc.language.isoenen_US
dc.publisherInternational Journal of Scientific and Innovative Mathematical Research (IJSIMR)en_US
dc.subjectPredictor – corrector method, Linear multistep method, Runge – kutta method, Stability, Adams – Bashforth method.en_US
dc.titlePredictor–corrector methods of high order for numerical integration of initial value problemsen_US
dc.typeArticleen_US
Appears in Collections:Mathematics

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