08_Interpolation_04 - South Dakota School of Mines and

South Dakota School of Mines and Technology
Department of Computer and Mathematical Sciences
Math 373
Interpolation
Interpolation_04
1. Below are some regularly-spaced data varying with the independent variable x.
x
1
f (x)
-14
2
9
3
128
4
463
5
1182
6
2501
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a) What is the order (highest power of x) of the polynomial from which the data was
generated?
b) Find the equation that fits the data.
c) Interpolate for f(2.2) using a
i) first order (linear) approximation
ii) second order approximation
iii) third order approximation
2
Below are some regularly-spaced data varying with the independent variables x and y. Suggest a
method by which a value might be accurately interpolated at any (x, y) such as (723, 2.34).
y
x
1
2
3
4
5
6
7
8
100
0.39
3.68
9.44
17.77
28.76
42.46
58.92
78.19
100.30 125.29
9
10
300
-0.70
2.58
8.34
16.68
27.66
41.36
57.82
77.09
99.20
124.19
500
-1.21
2.07
7.83
16.16
27.15
40.85
57.31
76.58
98.69
123.68
700
-1.55
1.74
7.49
15.83
26.81
40.51
56.97
76.24
98.35
123.34
900
-1.80
1.48
7.24
15.58
26.56
40.26
56.72
75.99
98.10
123.09
1100
1300
-2.00
-2.17
1.28
1.12
7.04
6.87
15.38
15.21
26.36
26.20
40.06
39.89
56.52
56.36
75.79
75.62
97.90
97.73
122.89
122.72 .
3. Using the following data:
x
f(x)
1.00
2.00
1.10
2.92
1.20
2.68
1.30
2.27
1.40
1.71
1.50
1.10
1.60 1.70 1.80 1.90 2.00
-0.83 -2.73 -3.63 -5.43 -5.00
estimate the value of f(1.43) using Newton’s Difference Interpolation to the order of
a) 0
b) 1 (Tip: simply add the current-order term to the above, lower-order term.)
c) 2
d) 3
For your convenience:
This is a transposed array Horizontal to Vertical).
x
f(x)
x
1.00
1
2
1.1
2.92
1.2
2.68
1.3
2.27
f(x)
2.00
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1.10
2.92
1.20
2.68
1.4
1.71
4. Use the Lagrange Interpolation Equation for a quadratic order interpolation of problem #3
and compare it to the Newton Difference Equation result obtained above.