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Multiprocessing Suited Pace Size Proficiency for Ciphering First Order ODEs

Oghonyon, J. G. and Okunuga, S. A. and Odetunmibi,, O. A. and Okagbue, H. I. (2019) Multiprocessing Suited Pace Size Proficiency for Ciphering First Order ODEs. In: Proceedings of the World Congress on Engineering 2019, July 3-5, 2019,, London, U.K.

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Abstract-Appraising computed error in forecasting-adjusting system is all essential for purposeful acquiring suited pace size. Diverse schemata for controlling/estimating error bank on forecasting-adjusting system. This study examines multiprocessing suited pace size (adaptive) proficiency for ciphering first order ordinary differential equations (ODEs). This involves compounding Newton’s back difference interpolating multinomial with numeral consolidation method. This is valuated at more or less preferred grid points to invent multiprocessing forecasting-adjusting system. Moreover, process progresses to produce main local truncation error (MLTE) of multiprocessing forecasting-adjusting system after showing degree of the system. Numeral resolutions manifest effectiveness of varying pace size in working out first order ODEs. Accomplished resolution rendered is aided using mathematical software program. Mathematical resolutions show-case adaptive proficiency is effectual and function better than subsisting systems with respect to the maximal computed errors in the least time-tested tolerance bounds.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Adaptive proficiency, forecasting-adjusting system, tolerance bound, maximal computed errors, main local truncation error
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Engineering, Science and Mathematics > School of Mathematics
Depositing User: Mrs Patricia Nwokealisi
Date Deposited: 28 Jul 2021 12:36
Last Modified: 28 Jul 2021 12:36

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