1. Consider the following data: X -0.5 -0.25 0 f (x) -0.0247500 0.3349375 1.1010000 f'(x) 0.7510000 2.1890000 4.0020000 a) Determine the Hermite polynomial approximation at x =-- 1313 b) The data was generated using the function f(x) = x³ +4.001x² +4.002x + 1.101. Calculate the absolute error for the approximation in part (a).

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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1. Consider the following data:
X
-0.5
-0.25
0
f(x)
-0.0247500
0.3349375
1.1010000
X
1
a) Determine the Hermite polynomial approximation at x =-
b)
The data was generated using the function ƒ(x) = x³ + 4.001x² +4.002x + 1.101. Calculate the absolute error
for the approximation in part (a).
2. Use the following data and the knowledge that the first five derivatives of f are bounded on [1,5] by 2, 3, 6, 12 and
23, respectively, to approximate ƒ'(3) as accurately as possible. Find a bound for the error.
1
f(x) 2.4142
2
f'(x)
0.7510000
2.1890000
4.0020000
2.6734
3
2.8974
4
3.0976
5
3.2804
Transcribed Image Text:1. Consider the following data: X -0.5 -0.25 0 f(x) -0.0247500 0.3349375 1.1010000 X 1 a) Determine the Hermite polynomial approximation at x =- b) The data was generated using the function ƒ(x) = x³ + 4.001x² +4.002x + 1.101. Calculate the absolute error for the approximation in part (a). 2. Use the following data and the knowledge that the first five derivatives of f are bounded on [1,5] by 2, 3, 6, 12 and 23, respectively, to approximate ƒ'(3) as accurately as possible. Find a bound for the error. 1 f(x) 2.4142 2 f'(x) 0.7510000 2.1890000 4.0020000 2.6734 3 2.8974 4 3.0976 5 3.2804
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