| K. Madsen, A Root-Finding Algorithm Based on Newton's Method, BIT, 13 (1973), pp. 71-75. |
....other major approaches to polynomial rootfinding as well as some history of Weyl s classical approach. 1. 2 The Functional Iteration Approach Practical approximation of the zeros of p(x) presently relies on iterative algorithms based on the Newton, Laguerre, and Jenkins Traub iteration processes [M73], MR75] HPR77] F81] JT70] JT72] IMSL87] The most celebrated example is Newton s iteration, x i 1 = x i Gamma p(x i ) p 0 (x i ) i = 0; 1; which starts with some initial x 0 and is supposed to converge to a zero z j of p(x) If it does, the same process can be recursively ....
K. Madsen, A Root-Finding Algorithm Based on Newton's Method, BIT, 13 (1973), pp. 71-75.
....of the zeros of polynomials of small and moderately large degrees. At least three such approaches should be cited here: Jenkins and Traub s recursive algorithm, based on shifts of the variable and reversions of the polynomial [JT70] JT72] IMSL87] some variations of Newton s iteration [M73], MR75] and Laguerre s method [HPR77] F81] and [NAG88] rootfinder CO2AGF) all of which first approximate a single zero z of the input polynomial p(x) shift to the next input polynomial p(x) x z) and then recursively repeat these steps to approximate all other zeros of p(x) For most ....
K. MADSEN, A root-finding algorithm based on Newton's method, BIT, 13 (1973), pp. 71--75.
.... of such algorithms, the practical heuristic champions in efficiency (in terms of computer time and memory space used, according to the results of many experiments) are various modifications of Newton s iteration, z(i 1) z(i) Gamma a(i)p(z(i) p 0 (z(i) a(i) being the step size parameter [Madsen 1973], Laguerre s method [Hansen et al. 1977, Foster 1981] and the randomized Jenkins Traub algorithm [Jenkins and Traub 1970] all three for approximating a single zero z of p(x) which can be extended to approximating other zeros by means of deflation of the input polynomial via its numerical ....
K. Madsen. A root-finding algorithm based on Newton's method. BIT, 13:71--75, 1973.
.... of such algorithms, the practical heuristic champions in efficiency (in terms of computer time and memory space used, according to the results of many experiments) are various modifications of Newton s iteration, z(i 1) z(i) Gamma a(i)p(z(i) p 0 (z(i) a(i) being the step size parameter [Mad73] Laguerre s method [HPR77, Fos81] and the randomized Jenkins Traub algorithm [JT70] all three for approximating a single zero z of p(x) which can be extended to approximating other zeros by means of deflation of the input polynomial via its numerical division by x Gamma z. For simultaneous ....
K. Madsen. A root-finding algorithm based on Newton's method. BIT, 13:71--75, 1973.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC