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Chapter 4 Numerical Differentiation And Integration

Chapter 4 Numerical Differentiation And Integration

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I = 4I n − I n/2<br />

− 12d 4<br />

+ ...<br />

3 n 4<br />

Define Ĩ = (4I n − I n/2 )/3 then the error convergence order increasing from O(1/n 2 ) to<br />

O(1/n 4 ).<br />

• Romberg integration<br />

The Richardson’s extrapolation process can be continued inductively. Define<br />

I (k)<br />

n<br />

with n a multiple of 2 k , k ≥ 1.<br />

= 4k I n<br />

(k−1)<br />

I (0)<br />

1<br />

4 k − 1<br />

I (0)<br />

2 I (1)<br />

2<br />

− I (k−1)<br />

n/2<br />

I (0)<br />

4 I (1)<br />

4 I (2)<br />

4<br />

I (0)<br />

8 I (1)<br />

8 I (2)<br />

8 I (3)<br />

8<br />

... ... ... ...<br />

4.7 <strong>Numerical</strong> <strong>Differentiation</strong><br />

From the Newton’s interpolation polynomial,<br />

, n ≥ 2 k<br />

f(x) − p n (x) = Φ n (x)f[x 0 ,x 1 ,...,x n ,x], Φ n (x) = (x − x 0 )...(x − x n )<br />

f ′ (x) − p ′ n(x) = Φ ′ n(x)f[x 0 ,x 1 ,...,x n ,x] + Φ n (x)f[x 0 ,x 1 ,...,x n ,x,x]<br />

= Φ ′ n(x) f(n+1) (ξ 1 )<br />

(n + 1)!<br />

Thus let x j = x 0 + jh, j = 0, 1,...,n. Then<br />

+ Φ n (x) f(n+2) (ξ 2 )<br />

(n + 2)!<br />

Φ n (x) = O(h n+1 ), Φ ′ n(x) = O(h n )<br />

f ′ (x) − p ′ n(x) =<br />

{<br />

O(h n ) Φ ′ n(x) ≠ 0<br />

O(h n+1 ) Φ ′ n(x) = 0<br />

10

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