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An Approximation Algorithm for Dissecting a Rectangle into Rectangles with Specified Areas

机译:用指定区域解剖矩形将矩形解剖到矩形的近似算法

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Given a rectangle R with area α and a set of 71 positive reals A = {a_1,a_2,…,a_n} with Σ_(ai∈A) ai = α, we consider the problem of dissecting R into n rectangles r_n with area a_i, (i = 1,2,…,n) so that the set R of resulting rectangles minimizes an objective function such as the sum of perimeters of the rectangles in "R., the maximum perimeter of the rectangles in 1Z, and the maximum aspect ratio p(r) of the rectangles r ∈R, where we call the problems with these objective functions PERI-SUM, PERI-MAX and ASPECT-RATIO, respectively. We propose an O(n log n) time algorithm that finds a dissection R of R that is a 1.25-approximation solution to the PERI-SUM, a 2/3~(1/2)-approximation solution to the PERI-MAX, and has an aspect ratio at most max{ρ(R), 3,l + max_(i=1,…,n-1)}, where ρ(R) denotes the aspect ratio of R.
机译:给定面积α的矩形α和一组71正真实物a = {a_1,a_2,...,a_n}与σ_(ai∈a)ai =α,我们将解剖R进入N矩形R_N的问题与区域a_i ,(i = 1,2,...,n),使得得到的矩形的集合r最小化了目标函数,例如“R.中矩形的最大周边的矩形的周长之和,以及最大值矩形r∈r的宽高比p(r),其中我们分别呼叫这些目标函数的问题,Peri-sum,peri-max和纵横比。我们提出了发现一个的O(n log n)时间算法对PERI-SUM的1.25近似解剖r,对PERI-MAX的2/3〜(1/2)克,并且具有最多最大{ρ(r)的纵横比, 3,l + max_(i = 1,...,n-1)},其中ρ(r)表示R的纵横比。

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