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Exact and approximation algorithms for finding an optimal bridge connecting two simple polygons

机译:精确和近似算法,用于寻找连接两个简单多边形的最佳桥梁

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Given two simple polygons P and Q we define the weight of a bridge (p, q), with p is an element of rho(p) and q is an element of rho(Q), where rho() denotes the compact region enclosed by the boundary of the polygon, between the two polygons as gd(p, P) + d(p, q) + gd(q, Q), where d(p, q) is the Euclidean distance between the points p and q, and gd(x, X) is the geodesic distance between x and its geodesic furthest neighbor on X. Our problem differs from another version of the problem where the additional restriction of requiring the endpoints of the bridge to be mutually visible was imposed. We show that an optimal bridge always exists such that the endpoints of the bridge lie on the boundaries of the two polygons. Using this critical property, we present an algorithm to find an optimal bridge (of minimum weight) in O(n(2) log n) time. We present a polynomial time approximation scheme that for any epsilon > 0 generates a bridge with objective function within a factor of 1 + epsilon of the optimal value in O(kn log kn) time, where k = 2 * [1/log(1+epsilon)]. An improved polynomial time approximation scheme and algorithms for generalized versions of our problems are also discussed.
机译:给定两个简单的多边形P和Q,我们定义了桥的权重(p,q),其中p是rho(p)的元素,q是rho(Q)的元素,其中rho()表示封闭的紧凑区域根据多边形的边界,两个多边形之间的距离为gd(p,P)+ d(p,q)+ gd(q,Q),其中d(p,q)是点p和q之间的欧几里得距离,而gd(x,X)是x及其在X上最远的测地距离之间的测地距离。我们的问题不同于另一个版本的问题,在该版本中,附加要求桥的端点必须相互可见。我们表明,最佳桥梁总是存在的,以使桥梁的端点位于两个多边形的边界上。使用此关键属性,我们提出了一种算法,可以在O(n(2)log n)时间内找到最佳桥(最小重量)。我们提出了一个多项式时间近似方案,对于任何大于0的epsilon,都会生成目标函数在O(kn log kn)时间的最优值的1 + epsilon内的桥,其中k = 2 * [1 / log(1 + epsilon)]。还讨论了针对我们问题的广义版本的改进的多项式时间逼近方案和算法。

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