2016
DOI: 10.1016/j.comgeo.2016.02.003
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Covering points with minimum/maximum area orthogonally convex polygons

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Cited by 2 publications
(3 citation statements)
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“…It is easy to obtain polynomial time algorithms for the second problem when k = 1, since the solution consists of all points in the convex hull of S. The continuous version for d = k = 2 can be solved in O(n 4 log n) time [3]. Also, the orthogonal version of the problem is well studied (see for example [21]). We know of no results for the digital version.…”
Section: Conclusion and Open Problemsmentioning
confidence: 99%
“…It is easy to obtain polynomial time algorithms for the second problem when k = 1, since the solution consists of all points in the convex hull of S. The continuous version for d = k = 2 can be solved in O(n 4 log n) time [3]. Also, the orthogonal version of the problem is well studied (see for example [21]). We know of no results for the digital version.…”
Section: Conclusion and Open Problemsmentioning
confidence: 99%
“…We study the minimal decompositions of rectilinear polygons into rectangles associated with the task of generating and propagating electromagnetic interference in multilayer printed circuit boards in [10]. Convex polygons of the minimum and maximum area are also considered in [11][12][13].…”
Section: Introductionmentioning
confidence: 99%
“…The two other coordinates of the vertices of the triangle ∆ are as follows: ( Length of ∆ is equal to: E3S Web of Conferences 164, 02004 (2020) TPACEE-2019 https://doi.org/10.1051/e3sconf /So the area of ∆ may be written down like:Investigating ( , ) on extremums in the area ∈ (−∞; 0) ∈ (0; +∞). To do it let us study the derivatives of this function of two variables(13)…”
mentioning
confidence: 99%