Assume that a numerical method possesses an asymptotic error expansion of the form Îh – y(T) = Dhº +O(hP+1) T obtained with step size h, and D is a where yh is the approximate solution at time t constant. If one uses the numerical method to create approximate solutions to a problem where the exact solution is known, i.e. y(T) is known, derive a formula for an estimate of the order of accuracy (which we also call the rate of convergence) p that is based upon the results of two computations, one using h = known, you can have y(T) in the formula.] %3D h and one using h = . [Hints: since y(T) is %3D

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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Assume that a numerical method possesses an asymptotic error expansion of the form
În – y(T) = Dhº + O(h²+1)
where ỹn is the approximate solution at time t
constant. If one uses the numerical method to create approximate solutions to a problem
where the exact solution is known, i.e. y(T) is known, derive a formula for an estimate of
the order of accuracy (which we also call the rate of convergence) p that is based upon the
results of two computations, one using h
known, you can have y(T) in the formula.]
T obtained with step size h, and D is a
h and one using h = 5. [Hints: since y(T) is
Transcribed Image Text:Assume that a numerical method possesses an asymptotic error expansion of the form În – y(T) = Dhº + O(h²+1) where ỹn is the approximate solution at time t constant. If one uses the numerical method to create approximate solutions to a problem where the exact solution is known, i.e. y(T) is known, derive a formula for an estimate of the order of accuracy (which we also call the rate of convergence) p that is based upon the results of two computations, one using h known, you can have y(T) in the formula.] T obtained with step size h, and D is a h and one using h = 5. [Hints: since y(T) is
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