Optimization Model for Polyline Offset

This paper presents a least-squares optimization formulation for improving polyline offset quality through tangential displacement of offset vertices. The resulting sparse tridiagonal linear system computes the global minimizer of the proposed objective and can be solved in O(n) time. Experimental examples demonstrate significant reduction of quadrilateral distortion and correction of inverted configurations. The formulation has also been extended to quadrilateral mesh surface offsets and may be applicable to broader geometric optimization problems. Keywords: optimization model, least square, rectangle quad

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-24
DOI
https://doi.org/10.5281/zenodo.20830372
Primary Topic
Computational Geometry and Mesh Generation
Type
preprint
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preprint

Optimization Model for Polyline Offset

ZM Xu
Zenodo (CERN European Organization for Nuclear Research)
Computational Geometry and Mesh Generation
preprint

Optimization Model for Polyline Offset

ZM Xu
preprint en

Abstract

This paper presents a least-squares optimization formulation for improving polyline offset quality through tangential displacement of offset vertices. The resulting sparse tridiagonal linear system computes the global minimizer of the proposed objective and can be solved in O(n) time. Experimental examples demonstrate significant reduction of quadrilateral distortion and correction of inverted configurations. The formulation has also been extended to quadrilateral mesh surface offsets and may be applicable to broader geometric optimization problems. Keywords: optimization model, least square, rectangle quad

Zenodo (CERN European Organization for Nuclear Research)
Sustainable cities and communities
Computational Geometry and Mesh Generation
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Optimization Model for Polyline Offset — ZM Xu · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS