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Definition: Say,
where is the root of . ,
are the errors at n and (n+1) iterations and
are the approximations of at ,
(n+1), iterations. If
where is
a constant, then the rate of convergence of the method by which
is generated is p.
Claim: Secant method has super linear convergence.
Proof: The iteration scheme for the secant method is
given by
Say and
i.e the error in the
n iteration in estimating .
Using (iii) in (ii) we get
By Mean value Theorem,
in the
interval and s.t.
We get
i.e.
Using (iii)above, we get
using (v), (vi), in (iv) we get
By def of rate of convergence the method is of order p if
>From (vii) and (viii) we get
i.e.
i.e.
From
(viii), (ix) we get
i.e.
Hence the convergence is superlinear.
Example:
Solve
for the root
in the interval [0.5,1.5] by secant method.
|
|
Secant Method |
|
|
|
|
|
|
|
0 |
0.5000000000 |
1.5000000000 |
0.8773435354 |
2.1035263538 |
1 |
1.5000000000 |
0.8773435354 |
0.4212051630 |
-4.2280626297 |
2 |
0.8773435354 |
0.4212051630 |
0.7258019447 |
0.3298732340 |
3 |
0.4212051630 |
0.7258019447 |
0.7037572265 |
0.0327354670 |
4 |
0.7258019447 |
0.7037572265 |
0.7013285756 |
-0.0005388701 |
5 |
0.7037572265 |
0.7013285756 |
0.7013679147 |
0.0000009526 |
Next: Newton-Raphson Method:
Up: ratish-1
Previous: Modified Regular Falsi method:
root
2006-02-07