Constant Workspace Algorithms for Computing Relative Hulls in the Plane

Constant workspace algorithms use a constant number of words in addition to the read-only input to the algorithm. In this paper, we devise algorithms to efficiently compute relative hulls in the plane using a constant workspace. Specifically, we devise algorithms for the following three problems: (i) Given two simple polygons [Formula: see text] and [Formula: see text] with [Formula: see text], compute a simple polygon [Formula: see text] with a perimeter of minimum length such that [Formula: see text]. (ii) Given two simple polygons [Formula: see text] and [Formula: see text] such that [Formula: see text] does not intersect the relative interior of [Formula: see text] but it does intersect the relative interior of the convex hull of [Formula: see text], compute a weakly simple polygon [Formula: see text] with a perimeter of minimum length such that [Formula: see text], the convex hull of [Formula: see text] contains [Formula: see text], and [Formula: see text] does not intersect the relative interior of [Formula: see text]. (iii) Given a set [Formula: see text] of points located in a simple polygon [Formula: see text], compute a weakly simple polygon [Formula: see text] with a perimeter of minimum length such that [Formula: see text] and [Formula: see text] contains all the points in [Formula: see text]. To our knowledge, no prior work devised algorithms to compute relative hulls using a constant workspace, and this work is the first such attempt.

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Publication Details

Journal
International Journal of Computational Geometry & Applications
Published
2025-11-26
DOI
https://doi.org/10.1142/s0218195925500062
Primary Topic
Computational Geometry and Mesh Generation
Type
article
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article

Constant Workspace Algorithms for Computing Relative Hulls in the Plane

Himanshu Chhabra, R. Inkulu
International Journal of Computational Geometry & Applications
Computational Geometry and Mesh Generation
article

Constant Workspace Algorithms for Computing Relative Hulls in the Plane

Himanshu Chhabra, R. Inkulu
article en

Abstract

Constant workspace algorithms use a constant number of words in addition to the read-only input to the algorithm. In this paper, we devise algorithms to efficiently compute relative hulls in the plane using a constant workspace. Specifically, we devise algorithms for the following three problems: (i) Given two simple polygons [Formula: see text] and [Formula: see text] with [Formula: see text], compute a simple polygon [Formula: see text] with a perimeter of minimum length such that [Formula: see text]. (ii) Given two simple polygons [Formula: see text] and [Formula: see text] such that [Formula: see text] does not intersect the relative interior of [Formula: see text] but it does intersect the relative interior of the convex hull of [Formula: see text], compute a weakly simple polygon [Formula: see text] with a perimeter of minimum length such that [Formula: see text], the convex hull of [Formula: see text] contains [Formula: see text], and [Formula: see text] does not intersect the relative interior of [Formula: see text]. (iii) Given a set [Formula: see text] of points located in a simple polygon [Formula: see text], compute a weakly simple polygon [Formula: see text] with a perimeter of minimum length such that [Formula: see text] and [Formula: see text] contains all the points in [Formula: see text]. To our knowledge, no prior work devised algorithms to compute relative hulls using a constant workspace, and this work is the first such attempt.

International Journal of Computational Geometry & ApplicationsVol. 35(03n04)
Indian Institute of Technology Guwahati (IN)
Openalex Percentile: Top 43%
Computational Geometry and Mesh Generation
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Constant Workspace Algorithms for Computing Relative Hulls in the Plane — Himanshu Chhabra, R. Inkulu · International Journal of Computational Geometry & Applications (2025) | TGRS Research Map | TGRS