Numerical analysis Nonlinear equations Theorem
Steffensen's method
Builds on Newton's methodAitken's delta-squared processRate of convergence
Statement
Let be a real function that is twice continuously differentiable on an open interval . Let be a simple zero of , that is, and . For with , put Steffensen's method is the iteration stopped when . Then there is such that for every with the iterates are defined and converge to quadratically.
Remarks
The quantity is a difference quotient of with step . Near the step is small, and . So the method behaves like Newton's method, with an error in the slope of the same size as the current error, which keeps the order . Each step costs two evaluations of and no derivative. The step is exactly Aitken's delta-squared process applied to the points , , of the fixed-point map . The method needs close to : when is large, the point can be far away and the slope estimate is useless.
Going deeper
For a student
It is the derivative-free counterpart of Newton's method, with the same quadratic order. It also shows how convergence acceleration turns a linearly convergent fixed-point iteration into a quadratically convergent one. Its basin of convergence is often smaller than that of Newton's method.
Reading path
To understand this page from the ground up, read these 8 pages in order. The foundations come first.
Show the path as a graph
- no evidence level
- Aitken's delta-squared process concept
- Limit point of a set definition
- Rate of convergence concept
- Limit of a function definition
- Derivative definition
- Tangent line concept
- Newton's method concept
- Steffensen's method statement
Further reading
About this page
| Tag | GEFBDG5CJ3 |
|---|---|
| URI | m2://GEFBDG5CJ3 |
| Kind | statement, theorem |
| Writing | W0 stub |
| MSC | 65H05, 65B99 |
| Status | This copy of the site has no build data. Run m2 status GEFBDG5CJ3. |
| About | Newton's method |
| Uses | Newton's method, Aitken's delta-squared process, Rate of convergence |
| Same as |
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