An efficient multistep iteration scheme for systems of nonlinear algebraic equations associated with integral equations

Seif, Yaser; Lotfi, Taher

doi:10.1002/mma.6202

Cited by 1 publication

(1 citation statement)

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“…Since analytical methods are not always suitable for finding solutions to equations, various numerical methods for solving nonlinear problems have been presented by scientists from different branches of science and engineering. Iterative methods are one of the best and most efficient methods to obtain solutions to nonlinear problems in mathematics [3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

A family of iterative methods to solve nonlinear problems with applications in fractional differential equations

Erfanifar,

Hajarian,

Sayevand

2023

Math Methods in App Sciences

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In this work, first, a family of fourth‐order methods is proposed to solve nonlinear equations. The methods satisfy the Kung‐Traub optimality conjecture. By developing the methods into memory methods, their efficiency indices are increased. Then, the methods are extended to the multi‐step methods for finding the solutions to systems of problems. The formula for the order of convergence of the multi‐step iterative methods is , where is the step number of the methods. It is clear that computing the Jacobian matrix derivative evaluation and its inversion are expensive; therefore, we compute them only once in every cycle of the methods. The important feature of these multi‐step methods is their high‐efficiency index. Numerical examples that confirm the theoretical results are performed. In applications, some nonlinear problems related to the numerical approximation of fractional differential equations (FDEs) are constructed and solved by the proposed methods.

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