MPI-INF Logo
Campus Event Calendar

Event Entry

What and Who

Almost Tight Recursion Tree Bounds for the Descartes Method

Arno Eigenwillig
Max-Planck-Institut für Informatik - D 1
AG1 Mittagsseminar (own work)
AG 1, AG 2, AG 3, AG 4, AG 5, SWS  
AG Audience
English

Date, Time and Location

Friday, 7 July 2006
13:30
30 Minutes
E1 4
023
Saarbrücken

Abstract

Joint work with V. Sharma and C. K. Yap.

We give a unified (``basis free'') framework for the Descartes
method for real root isolation of square-free real polynomials.
This framework encompasses the usual Descartes' rule of sign method
for polynomials in the power basis as well as its analog in the
Bernstein basis.

We then give a new bound on the size of the recursion tree in the
Descartes method for polynomials with real coefficients. Applied to
polynomials $A(X) = \sum_{i=0}^n a_iX^i$ with integer coefficients
$\abs{a_i} less than 2^L$, this yields a bound of $O(n(L + \log n))$ on the
size of recursion trees. We show that this bound is tight for
$L = \Omega(\log n)$, and we use it to derive the best known
bit complexity bound for the integer case.

Contact

Arno Eigenwillig
-129
--email hidden
passcode not visible
logged in users only

Tags, Category, Keywords and additional notes

Polynomial real root isolation, Descartes method, Descartes rule of signs, Bernstein basis, Davenport-Mahler bound.
This is a practice talk for a conference.

Carina Schmitt, 07/03/2006 14:03
Arno Eigenwillig, 06/28/2006 17:49
Arno Eigenwillig, 06/27/2006 10:33 -- Created document.