
The authors present a combination of global iterative methods, based on the Fatou-Julia theory, and local methods to find selected roots of elementary transcendental equations, \(z=F(z,c)\), \(z\) and \(c\) complex, that occur in different applications. Suitable starting values for the iteration function, \(z_{n+1}=F(z_ n,c)\), and appropriate regions for the determination of the inverse iteration function, \(z_{n+1}=F^{- 1}(z_ n,c)\), are given. Convergence criteria are derived. Certain fixed points of \(F\) can be reached quickly by means of a local method, like Newton's method. It is shown that Newton's method leads to attractive cycles or to unpredictable roots when the starting values are near the Fatou-Julia set.
global iterative methods, inverse iteration, fixed points, unpredictable roots, roots of elementary transcendental equations, Computational Mathematics, General theory of numerical methods in complex analysis (potential theory, etc.), Newton's method, attractive cycles, Computational Theory and Mathematics, Zeros of polynomials, rational functions, and other analytic functions of one complex variable (e.g., zeros of functions with bounded Dirichlet integral), Modelling and Simulation, Fatou-Julia set, Numerical computation of solutions to single equations, Convergence, Fatou-Julia theory
global iterative methods, inverse iteration, fixed points, unpredictable roots, roots of elementary transcendental equations, Computational Mathematics, General theory of numerical methods in complex analysis (potential theory, etc.), Newton's method, attractive cycles, Computational Theory and Mathematics, Zeros of polynomials, rational functions, and other analytic functions of one complex variable (e.g., zeros of functions with bounded Dirichlet integral), Modelling and Simulation, Fatou-Julia set, Numerical computation of solutions to single equations, Convergence, Fatou-Julia theory
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