An iteration converges at least quadratically to a limit if its errors eventually satisfy the displayed bound with a fixed finite C>0. If CeN<1, induction gives ∣eN+k∣≤C−1(C∣eN∣)2k. Exact asymptotic quadratic convergence has ∣en+1∣/∣en∣2→c∈(0,∞). Newton root-finding iteration at a simple scalar root has this order when the second derivative at the root is nonzero; if that derivative vanishes, convergence can be faster.
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- Concave Newton iteration from below
- Cubic convergence of Newton optimization for an even quartic
- Diagonal reduction in a two-variable Newton iteration
- Exact Newton error identity for a quadratic
- Linear convergence
- Local quadratic convergence of Newton iteration
- Monotone Newton convergence for a strictly convex function
- Newton iteration for a square root
- Newton root-finding iteration
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- Superlinear convergence
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