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Algorithms of Intrinsic Complexity for Point Searching in Compact Real Singular Hypersurfaces

机译:紧实实奇异超曲面中点搜索的本征复杂度算法

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摘要

For a real square-free multivariate polynomial F, we treat the general problem of finding real solutions of the equation F=0, provided that the real solution set {F=0} is compact. We allow that the equation F=0 may have singular real solutions. We are going to decide whether this equation has a non-singular real solution and, if this is the case, we exhibit one for each generically smooth connected component of {F=0}. We design a family of elimination algorithms of intrinsic complexity which solves this problem. In the worst case, the complexity of our algorithms does not exceed the already known extrinsic complexity bound of (nd) O(n) for the elimination problem under consideration, where n is the number of indeterminates of F and d its (positive) degree. In the case that the real variety defined by F is smooth, there already exist algorithms of intrinsic complexity that solve our problem. However, these algorithms cannot be used in case when F=0 admits F-singular real solutions.
机译:对于实无平方的多元多项式F,只要实解集{F = 0} 是紧凑的,我们将处理查找方程F = 0的实解的一般问题。我们允许方程F = 0可能具有奇异实解。我们将确定该方程是否具有非奇异的实解,如果是这种情况,则对于{F = 0} 的每个一般平滑连接的分量,我们将展示一个。我们设计了一系列消除固有复杂性的消除算法,以解决此问题。在最坏的情况下,对于考虑中的消除问题,我们的算法的复杂度不会超过(nd) O(n)的已知外部复杂度界限,其中n是F的不确定数d(正)度。在由F定义的实变数平滑的情况下,已经存在解决本问题的内在复杂性算法。但是,如果F = 0允许F奇异实解,则无法使用这些算法。

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