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Documents authored by Gezalyan, Auguste H.

Document
DOI: 10.4230/LIPIcs.WADS.2025.3
Support Vector Machines in the Hilbert Geometry

Authors: Aditya Acharya, Auguste H. Gezalyan, Julian Vanecek, David M. Mount, and Sunil Arya

Published in: LIPIcs, Volume 349, 19th International Symposium on Algorithms and Data Structures (WADS 2025)

Abstract
Support Vector Machines (SVMs) are a class of classification models in machine learning that are based on computing a maximum-margin separator between two sets of points. The SVM problem has been heavily studied for Euclidean geometry and for a number of kernels. In this paper, we consider the linear SVM problem in the Hilbert metric, a non-Euclidean geometry defined over a convex body. We present efficient algorithms for computing the SVM classifier for a set of n points in the Hilbert metric defined by convex polygons in the plane and convex polytopes in d-dimensional space. We also consider the problems in the related Funk distance.
Cite as

Aditya Acharya, Auguste H. Gezalyan, Julian Vanecek, David M. Mount, and Sunil Arya. Support Vector Machines in the Hilbert Geometry. In 19th International Symposium on Algorithms and Data Structures (WADS 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 349, pp. 3:1-3:20, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{acharya_et_al:LIPIcs.WADS.2025.3,
  author =	{Acharya, Aditya and Gezalyan, Auguste H. and Vanecek, Julian and Mount, David M. and Arya, Sunil},
  title =	{{Support Vector Machines in the Hilbert Geometry}},
  booktitle =	{19th International Symposium on Algorithms and Data Structures (WADS 2025)},
  pages =	{3:1--3:20},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-398-0},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{349},
  editor =	{Morin, Pat and Oh, Eunjin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.WADS.2025.3},
  URN =		{urn:nbn:de:0030-drops-242348},
  doi =		{10.4230/LIPIcs.WADS.2025.3},
  annote =	{Keywords: Support vector machines, Hilbert geometry, linear classification, machine learning, LP-type problems}
}
Artifact
Software
DOI: 10.4230/artifacts.23340
Ipelets for Points and Polygons

Authors: Klint Faber, Auguste H. Gezalyan, Adam Martinson, Aniruddh Mutnuru, Nithin Parepally, Ryan Parker, Mihil Sreenilayam, Aram Zaprosyan, and David M. Mount

Abstract
Cite as

Klint Faber, Auguste H. Gezalyan, Adam Martinson, Aniruddh Mutnuru, Nithin Parepally, Ryan Parker, Mihil Sreenilayam, Aram Zaprosyan, David M. Mount. Ipelets for Points and Polygons (Software). Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@misc{dagstuhl-artifact-23340,
   title = {{Ipelets for Points and Polygons}}, 
   author = {Faber, Klint and Gezalyan, Auguste H. and Martinson, Adam and Mutnuru, Aniruddh and Parepally, Nithin and Parker, Ryan and Sreenilayam, Mihil and Zaprosyan, Aram and Mount, David M.},
   note = {Software, swhId: \href{https://archive.softwareheritage.org/swh:1:dir:8d9d49631e2688049de55f2c874e85e56cb50620;origin=https://github.com/nithin1527/onion-soup;visit=swh:1:snp:c055d63f5a6fe8fb1d9092a820512b5f1eea62fa;anchor=swh:1:rev:698a000737b45477597e7ffc8f17e59072bfe7f3}{\texttt{swh:1:dir:8d9d49631e2688049de55f2c874e85e56cb50620}} (visited on 2025-06-20)},
   url = {https://github.com/nithin1527/onion-soup},
   doi = {10.4230/artifacts.23340},
}
Artifact
Software
DOI: 10.4230/artifacts.23291
Software For the Thompson and Funk Geometry

Authors: Hridhaan Banerjee, Carmen Isabel Day, Auguste H. Gezalyan, Olga Golovatskaia, Megan Hunleth, Sarah Hwang, Nithin Parepally, Lucy Wang, and David M. Mount

Abstract
Cite as

Hridhaan Banerjee, Carmen Isabel Day, Auguste H. Gezalyan, Olga Golovatskaia, Megan Hunleth, Sarah Hwang, Nithin Parepally, Lucy Wang, David M. Mount. Software For the Thompson and Funk Geometry (Software, Source Code). Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@misc{dagstuhl-artifact-23291,
   title = {{Software For the Thompson and Funk Geometry}}, 
   author = {Banerjee, Hridhaan and Day, Carmen Isabel and Gezalyan, Auguste H. and Golovatskaia, Olga and Hunleth, Megan and Hwang, Sarah and Parepally, Nithin and Wang, Lucy and Mount, David M.},
   note = {Software, swhId: \href{https://archive.softwareheritage.org/swh:1:dir:074df2e40eb974083f969981c7b82f83a059488b;origin=https://github.com/nithin1527/funk-geo-visualizer;visit=swh:1:snp:e75b8a08dc088518d55d404013d3f75417e891e7;anchor=swh:1:rev:1d259b6d2d7bb2d3c8f23ee785fde413d9a38430}{\texttt{swh:1:dir:074df2e40eb974083f969981c7b82f83a059488b}} (visited on 2025-06-20)},
   url = {https://github.com/nithin1527/funk-geo-visualizer},
   doi = {10.4230/artifacts.23291},
}
Document
Media Exposition
DOI: 10.4230/LIPIcs.SoCG.2025.82
Software for the Thompson and Funk Polygonal Geometry (Media Exposition)

Authors: Hridhaan Banerjee, Carmen Isabel Day, Auguste H. Gezalyan, Olga Golovatskaia, Megan Hunleth, Sarah Hwang, Nithin Parepally, Lucy Wang, and David M. Mount

Published in: LIPIcs, Volume 332, 41st International Symposium on Computational Geometry (SoCG 2025)

Abstract
Metric spaces defined within convex polygons, such as the Thompson, Funk, reverse Funk, and Hilbert metrics, are subjects of recent exploration and study in computational geometry. This paper contributes an educational piece of software for understanding these unique geometries while also providing a tool to support their research. We provide dynamic software for manipulating the Funk, reverse Funk, and Thompson balls in convex polygonal domains. Additionally, we provide a visualization program for traversing the Hilbert polygonal geometry.
Cite as

Hridhaan Banerjee, Carmen Isabel Day, Auguste H. Gezalyan, Olga Golovatskaia, Megan Hunleth, Sarah Hwang, Nithin Parepally, Lucy Wang, and David M. Mount. Software for the Thompson and Funk Polygonal Geometry (Media Exposition). In 41st International Symposium on Computational Geometry (SoCG 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 332, pp. 82:1-82:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{banerjee_et_al:LIPIcs.SoCG.2025.82,
  author =	{Banerjee, Hridhaan and Day, Carmen Isabel and Gezalyan, Auguste H. and Golovatskaia, Olga and Hunleth, Megan and Hwang, Sarah and Parepally, Nithin and Wang, Lucy and Mount, David M.},
  title =	{{Software for the Thompson and Funk Polygonal Geometry}},
  booktitle =	{41st International Symposium on Computational Geometry (SoCG 2025)},
  pages =	{82:1--82:6},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-370-6},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{332},
  editor =	{Aichholzer, Oswin and Wang, Haitao},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SoCG.2025.82},
  URN =		{urn:nbn:de:0030-drops-232349},
  doi =		{10.4230/LIPIcs.SoCG.2025.82},
  annote =	{Keywords: Thompson metric, Hilbert metric, Funk metric, balls}
}
Document
Media Exposition
DOI: 10.4230/LIPIcs.SoCG.2025.83
French Onion Soup, Ipelets for Points and Polygons (Media Exposition)

Authors: Klint Faber, Auguste H. Gezalyan, Adam Martinson, Aniruddh Mutnuru, Nithin Parepally, Ryan Parker, Mihil Sreenilayam, Aram Zaprosyan, and David M. Mount

Published in: LIPIcs, Volume 332, 41st International Symposium on Computational Geometry (SoCG 2025)

Abstract
There are many structures, both classical and modern, involving point-sets and polygons whose deeper understanding can be facilitated through interactive visualizations. The Ipe extensible drawing editor, developed by Otfried Cheong, is a widely used software system for generating geometric figures. One of its features is the capability to extend its functionality through programs called Ipelets. In this media submission, we showcase a collection of new Ipelets that construct a variety of geometric structures based on point sets and polygons. These include quadtrees, trapezoidal maps, beta skeletons, floating bodies of convex polygons, onion graphs, fractals (Sierpiński triangle and carpet), simple polygon triangulations, and random point sets in simple polygons. All our Ipelets are programmed in Lua and are freely available.
Cite as

Klint Faber, Auguste H. Gezalyan, Adam Martinson, Aniruddh Mutnuru, Nithin Parepally, Ryan Parker, Mihil Sreenilayam, Aram Zaprosyan, and David M. Mount. French Onion Soup, Ipelets for Points and Polygons (Media Exposition). In 41st International Symposium on Computational Geometry (SoCG 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 332, pp. 83:1-83:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{faber_et_al:LIPIcs.SoCG.2025.83,
  author =	{Faber, Klint and Gezalyan, Auguste H. and Martinson, Adam and Mutnuru, Aniruddh and Parepally, Nithin and Parker, Ryan and Sreenilayam, Mihil and Zaprosyan, Aram and Mount, David M.},
  title =	{{French Onion Soup, Ipelets for Points and Polygons}},
  booktitle =	{41st International Symposium on Computational Geometry (SoCG 2025)},
  pages =	{83:1--83:6},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-370-6},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{332},
  editor =	{Aichholzer, Oswin and Wang, Haitao},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SoCG.2025.83},
  URN =		{urn:nbn:de:0030-drops-232350},
  doi =		{10.4230/LIPIcs.SoCG.2025.83},
  annote =	{Keywords: Hilbert metric, Macbeath Regions, Polar Bodies, convexity}
}
Document
Media Exposition
DOI: 10.4230/LIPIcs.SoCG.2024.92
Ipelets for the Convex Polygonal Geometry (Media Exposition)

Authors: Nithin Parepally, Ainesh Chatterjee, Auguste H. Gezalyan, Hongyang Du, Sukrit Mangla, Kenny Wu, Sarah Hwang, and David M. Mount

Published in: LIPIcs, Volume 293, 40th International Symposium on Computational Geometry (SoCG 2024)

Abstract
There are many structures, both classical and modern, involving convex polygonal geometries whose deeper understanding would be facilitated through interactive visualizations. The Ipe extensible drawing editor, developed by Otfried Cheong, is a widely used software system for generating geometric figures. One of its features is the capability to extend its functionality through programs called Ipelets. In this media submission, we showcase a collection of new Ipelets that construct a variety of geometric objects based on polygonal geometries. These include Macbeath regions, metric balls in the forward and reverse Funk distance, metric balls in the Hilbert metric, polar bodies, the minimum enclosing ball of a point set, and minimum spanning trees in both the Funk and Hilbert metrics. We also include a number of utilities on convex polygons, including union, intersection, subtraction, and Minkowski sum (previously implemented as a CGAL Ipelet).
Cite as

Nithin Parepally, Ainesh Chatterjee, Auguste H. Gezalyan, Hongyang Du, Sukrit Mangla, Kenny Wu, Sarah Hwang, and David M. Mount. Ipelets for the Convex Polygonal Geometry (Media Exposition). In 40th International Symposium on Computational Geometry (SoCG 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 293, pp. 92:1-92:7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@InProceedings{parepally_et_al:LIPIcs.SoCG.2024.92,
  author =	{Parepally, Nithin and Chatterjee, Ainesh and Gezalyan, Auguste H. and Du, Hongyang and Mangla, Sukrit and Wu, Kenny and Hwang, Sarah and Mount, David M.},
  title =	{{Ipelets for the Convex Polygonal Geometry}},
  booktitle =	{40th International Symposium on Computational Geometry (SoCG 2024)},
  pages =	{92:1--92:7},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-316-4},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{293},
  editor =	{Mulzer, Wolfgang and Phillips, Jeff M.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SoCG.2024.92},
  URN =		{urn:nbn:de:0030-drops-200375},
  doi =		{10.4230/LIPIcs.SoCG.2024.92},
  annote =	{Keywords: Hilbert metric, Macbeath Regions, Polar Bodies, Convexity}
}
Document
DOI: 10.4230/LIPIcs.SWAT.2024.25
Delaunay Triangulations in the Hilbert Metric

Authors: Auguste H. Gezalyan, Soo H. Kim, Carlos Lopez, Daniel Skora, Zofia Stefankovic, and David M. Mount

Published in: LIPIcs, Volume 294, 19th Scandinavian Symposium and Workshops on Algorithm Theory (SWAT 2024)

Abstract
The Hilbert metric is a distance function defined for points lying within the interior of a convex body. It arises in the analysis and processing of convex bodies, machine learning, and quantum information theory. In this paper, we show how to adapt the Euclidean Delaunay triangulation to the Hilbert geometry defined by a convex polygon in the plane. We analyze the geometric properties of the Hilbert Delaunay triangulation, which has some notable differences with respect to the Euclidean case, including the fact that the triangulation does not necessarily cover the convex hull of the point set. We also introduce the notion of a Hilbert ball at infinity, which is a Hilbert metric ball centered on the boundary of the convex polygon. We present a simple randomized incremental algorithm that computes the Hilbert Delaunay triangulation for a set of n points in the Hilbert geometry defined by a convex m-gon. The algorithm runs in O(n (log n + log³ m)) expected time. In addition we introduce the notion of the Hilbert hull of a set of points, which we define to be the region covered by their Hilbert Delaunay triangulation. We present an algorithm for computing the Hilbert hull in time O(n h log² m), where h is the number of points on the hull’s boundary.
Cite as

Auguste H. Gezalyan, Soo H. Kim, Carlos Lopez, Daniel Skora, Zofia Stefankovic, and David M. Mount. Delaunay Triangulations in the Hilbert Metric. In 19th Scandinavian Symposium and Workshops on Algorithm Theory (SWAT 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 294, pp. 25:1-25:17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@InProceedings{gezalyan_et_al:LIPIcs.SWAT.2024.25,
  author =	{Gezalyan, Auguste H. and Kim, Soo H. and Lopez, Carlos and Skora, Daniel and Stefankovic, Zofia and Mount, David M.},
  title =	{{Delaunay Triangulations in the Hilbert Metric}},
  booktitle =	{19th Scandinavian Symposium and Workshops on Algorithm Theory (SWAT 2024)},
  pages =	{25:1--25:17},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-318-8},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{294},
  editor =	{Bodlaender, Hans L.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SWAT.2024.25},
  URN =		{urn:nbn:de:0030-drops-200657},
  doi =		{10.4230/LIPIcs.SWAT.2024.25},
  annote =	{Keywords: Delaunay Triangulations, Hilbert metric, convexity, randomized algorithms}
}
Document
DOI: 10.4230/LIPIcs.SoCG.2023.35
Voronoi Diagrams in the Hilbert Metric

Authors: Auguste H. Gezalyan and David M. Mount

Published in: LIPIcs, Volume 258, 39th International Symposium on Computational Geometry (SoCG 2023)

Abstract
The Hilbert metric is a distance function defined for points lying within a convex body. It generalizes the Cayley-Klein model of hyperbolic geometry to any convex set, and it has numerous applications in the analysis and processing of convex bodies. In this paper, we study the geometric and combinatorial properties of the Voronoi diagram of a set of point sites under the Hilbert metric. Given any m-sided convex polygon Ω in the plane, we present two randomized incremental algorithms and one deterministic algorithm. The first randomized algorithm and the deterministic algorithm compute the Voronoi diagram of a set of n point sites. The second randomized algorithm extends this to compute the Voronoi diagram of the set of n sites, each of which may be a point or a line segment. Our algorithms all run in expected time O(m n log n). The algorithms use O(m n) storage, which matches the worst-case combinatorial complexity of the Voronoi diagram in the Hilbert metric.
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Auguste H. Gezalyan and David M. Mount. Voronoi Diagrams in the Hilbert Metric. In 39th International Symposium on Computational Geometry (SoCG 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 258, pp. 35:1-35:16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@InProceedings{gezalyan_et_al:LIPIcs.SoCG.2023.35,
  author =	{Gezalyan, Auguste H. and Mount, David M.},
  title =	{{Voronoi Diagrams in the Hilbert Metric}},
  booktitle =	{39th International Symposium on Computational Geometry (SoCG 2023)},
  pages =	{35:1--35:16},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-273-0},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{258},
  editor =	{Chambers, Erin W. and Gudmundsson, Joachim},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SoCG.2023.35},
  URN =		{urn:nbn:de:0030-drops-178851},
  doi =		{10.4230/LIPIcs.SoCG.2023.35},
  annote =	{Keywords: Voronoi diagrams, Hilbert metric, convexity, randomized algorithms}
}
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