Evaluating derivatives: principles and techniques of algorithmic differentiation
Evaluating derivatives: principles and techniques of algorithmic differentiation
Automatic errorbounds for simple zeros of analytic functions
Communications of the ACM
Locating all the zeros of an analytic function in one complex variable
Journal of Computational and Applied Mathematics
Accelerating generators of iterative methods for finding multiple roots of nonlinear equations
Computers & Mathematics with Applications
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We present a method to find all zeros of an analytic function in a rectangular domain. The approach is based on finding guaranteed enclosures rather than approximations of the zeros. Well-isolated simple zeros are determined fast and with high accuracy. Clusters of zeros can in many cases be distinguished from multiple zeros by applying the argument principle to sufficiently high-order derivatives of the function. We illustrate the proposed method through five examples of varying levels of complexity.