
doi: 10.1007/bf02149763
The author establishes an iterative algorithm for approximating those zeros of a given function \(f\) holomorphic on \(\mathbb{C}\) lying within a prescribed compact set \(E_ 0\subset \mathbb{C}\). The main tool is an exclusion function \(m\) satisfying \(m(z_ 0) = 0\) iff \(f(z_ 0) = 0\) and s.t. \(f(z_ 0) \neq 0\) implies \(f(z) \neq 0\) for every \(z \in B(z_ 0,m(z_ 0))\). The boundary of \(E_ 0\) is supposed to be a Jordan curve. After choosing a point \(z_ 0 \in E_ 0\) satisfying \(m(z_ 0) \neq 0\) the set \(E_ 0\) is replaced by \(E_ 1 := E_ 0\setminus B(z_ 0,m(z_ 0))\). \(E_ 1\) is a compact subset of \(E_ 0\) but might split into several components each having a Jordan curve as its boundary. The author describes an algorithm for determining the components of \(E_ 1\) and explains how to choose a point \(z_ 1\) lying on the boundary of \(E_ 1\) which ought to replace \(z_ 0\). The algorithm stops after a finite number of steps and the according set \(E_ n\) splits into some components each of diameter less than a given bound and containing a zero of \(f\). The paper is completed by estimates of the optimality and a couple of examples.
optimality, General theory of numerical methods in complex analysis (potential theory, etc.), iterative algorithm, polynomial, zeros, Numerical computation of solutions to single equations, exclusion function, Real polynomials: location of zeros, analytic function
optimality, General theory of numerical methods in complex analysis (potential theory, etc.), iterative algorithm, polynomial, zeros, Numerical computation of solutions to single equations, exclusion function, Real polynomials: location of zeros, analytic function
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