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On the convexity of a class of quadratic mappings and its application to the problem of finding the smallest ball enclosing a given intersection of balls

机译:一类二次映射的凸性及其在寻找包含给定球的相交点的最小球的问题中的应用

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摘要

We consider the outer approximation problem of finding a minimum radius ball enclosing a given intersection of at most n - 1 balls in R~n. We show that if the aforementioned intersection has a nonempty interior, then the problem reduces to minimizing a convex quadratic function over the unit simplex. This result is established by using convexity and representation theorems for a class of quadratic mappings. As a byproduct of our analysis, we show that a class of nonconvex quadratic problems admits a tight semidefinite relaxation.
机译:我们考虑外部近似问题,即找到一个最小半径的球,该球将R〜n中最多n-1个球的给定交点封闭起来。我们表明,如果上述交集具有非空内部,则问题将减少到最小化单位单纯形上的凸二次函数。通过针对一类二次映射使用凸性和表示定理来建立此结果。作为我们分析的副产品,我们证明了一类非凸二次问题允许紧半确定松弛。

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