2002
DOI: 10.1006/jcom.2001.0636
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On the Complexity of Isolating Real Roots and Computing with Certainty the Topological Degree

Abstract: In this contribution the isolation of real roots and the computation of the topological degree in two dimensions are considered and their complexity is analyzed. In particular, we apply Stenger's degree computational method by splitting properly the boundary of the given region to obtain a sequence of subintervals along the boundary that forms a sufficient refinement. To this end, we properly approximate the function using univariate polynomials. Then we isolate each one of the zeros of these polynomials on th… Show more

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Cited by 52 publications
(42 citation statements)
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“…In particular, our Theorem 5.4 assures the existence of a deformed system (5.4) of the original system (2.1) that possesses only simple real roots. This result can be used in many cases including the computation of the topological degree [4,6,10,11,12] in order to examine the solution set of a system of equations and to obtain information on the existence of solutions, their number and their nature [1,3,6,8,9].…”
Section: Discussionmentioning
confidence: 99%
“…In particular, our Theorem 5.4 assures the existence of a deformed system (5.4) of the original system (2.1) that possesses only simple real roots. This result can be used in many cases including the computation of the topological degree [4,6,10,11,12] in order to examine the solution set of a system of equations and to obtain information on the existence of solutions, their number and their nature [1,3,6,8,9].…”
Section: Discussionmentioning
confidence: 99%
“…This rule is traditionally stated for the power basis and the interval (0, ∞); see [16] for a proof with historical references. The Bernstein formulation appears in [5][6][7][8].…”
Section: The Descartes Methods In the Bernstein Basismentioning
confidence: 99%
“…The Descartes method can be formulated for polynomials in the usual power basis [2,1,3,4] and for polynomials in the Bernstein basis [5][6][7][8]. The early work concentrated on polynomials with integer coefficients.…”
Section: Comparison To Related Workmentioning
confidence: 99%
“…Hereafter, these polynomials will be called g 1 (t), g 2 (t) and the interval [u, v] ⊂ R. For instance, one of the 4 cases to consider will be g 1 (t) = ∂ x f (t, c), g 2 (t) = ∂ y f (t, c), u = a, v = b. We recall briefly the subdivision method described in [43,40,18], which can be used for this purpose. First we express our polynomials…”
Section: Counting the Number Of Branchesmentioning
confidence: 99%
“…The complexity analysis of this method is described in [43]. This analysis can be improved by exploiting the recent results in [18].…”
Section: Counting the Number Of Branchesmentioning
confidence: 99%