We establish a convergence theorem for the Midpoint method using a new system of rectu'rence relations. The purpose of this note is to relax its convergence conditions. We also give an example where our convergence theorem can be applied but other ones cannot.
Newton's method under mild differentiability conditions
โ Scribed by Herbert B. Keller
- Publisher
- Elsevier Science
- Year
- 1970
- Tongue
- English
- Weight
- 437 KB
- Volume
- 4
- Category
- Article
- ISSN
- 0022-0000
No coin nor oath required. For personal study only.
โฆ Synopsis
We study Newton's method for determining the solution off(x) = 0 whenf(x) is required only to be continuous and piecewise continuously differentiable in some sphere about the initial iterate, x ) is nonsingular, (lc) II J-l(x~m)[J(x) -J(y)][I ~ o~(I x -y f), for all x andy ~ D.
๐ SIMILAR VOLUMES
In this work, we obtain a semilocal convergence result for the secant method in Banach spaces under mild convergence conditions. We consider a condition for divided differences which generalizes those usual ones, i.e., Lipschitz continuous and Holder continuous conditions. Also, we obtain a result f
A local convergence analysis of Newton's method for solving nonlinear equations, under a majorant condition, is presented in this paper. Without assuming convexity of the derivative of the majorant function, which relaxes the Lipschitz condition on the operator under consideration, convergence, the
The aim of this paper is to establish the semilocal convergence analysis of Stirling's method used to find fixed points of nonlinear operator equations in Banach spaces. This is done by using recurrence relations under weak Hรถlder continuity condition on the first Frรฉchet derivative of the involved
The classical Kantorovich theorem on Newton's method assumes that the first 5 w ลฝ . derivative of the operator involved satisfies a Lipschitz condition โซ Fะ x y 0 ลฝ .x5 5 5 Fะ y F L x y y . In this paper, we weaken this condition, assuming that 5 w ลฝ . ลฝ .x5 ลฝ5 5 . โซ Fะ x y Fะ x F x y x for a given
Under weak conditions, we present an iteration formula to improve Newton's method for solving nonlinear equations. The method is free from second derivatives, permitting f (x) = 0 in some points and per iteration it requires two evaluations of the given function and one evaluation of its derivative.