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Contractivity-Preserving Explicit 2-Step, 6-Stage, 6-Derivative Hermite-Birkhoff–Obrechkoff Ode Solver of Order 13

dc.contributor.authorAlzahrani, Abdulrahman
dc.contributor.supervisorGiordano, Thierry
dc.contributor.supervisorVaillancourt, Rémi
dc.date.accessioned2015-07-27T13:27:10Z
dc.date.available2015-07-27T13:27:10Z
dc.date.created2015
dc.date.issued2015
dc.degree.disciplineSciences / Science
dc.degree.levelmasters
dc.degree.nameMSc
dc.description.abstractIn this thesis, we construct a new optimal contractivity-preserving (CP) explicit, 2-step, 6-stage, 6-derivative, Hermite--Birkhoff--Obrechkoff method of order 13, denoted by HBO(13) with nonnegative coefficients, for solving nonstiff first-order initial value problems y'=f(t,y), y(t_0)=y_0. This new method is the combination of a CP 2-step, 6-derivative, Hermite--Obrechkoff of order 9, denoted by HO(9), and a 6-stage Runge-Kutta method of order 5, denoted by RK(6,5). The new HBO(13) method has order 13. We compare this new method, programmed in Matlab, to Adams-Bashforth-Moulton method of order 13 in PECE mode, denoted by ABM(13), by testing them on several frequently used test problems, and show that HBO(13) is more efficient with respect to the CPU time, the global error at the endpoint of integration and the relative energy error. We show that the new HBO(13) method has a larger scaled interval of absolute stability than ABM(13) in PECE mode.
dc.faculty.departmentMathématiques et statistique / Mathematics and Statistics
dc.identifier.urihttp://hdl.handle.net/10393/32564
dc.identifier.urihttp://dx.doi.org/10.20381/ruor-4246
dc.language.isoen
dc.publisherUniversité d'Ottawa / University of Ottawa
dc.subjectContractivity preserving
dc.subjectexplicit Hermite–Birkhoff–Obrechkoff method
dc.subjectAdams-Bashforth–Moulton method
dc.subjectomparing ODE solvers
dc.subjectN-body simulation
dc.titleContractivity-Preserving Explicit 2-Step, 6-Stage, 6-Derivative Hermite-Birkhoff–Obrechkoff Ode Solver of Order 13
dc.typeThesis
thesis.degree.disciplineSciences / Science
thesis.degree.levelMasters
thesis.degree.nameMSc
uottawa.departmentMathématiques et statistique / Mathematics and Statistics

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