A pseudopolynomial algorithm for Alexandrov's theorem

Alexandrov’s Theorem states that every metric with the global topology and local geometry required of a convex polyhedron is in fact the intrinsic metric of some convex polyhedron. Recent work by Bobenko and Izmestiev describes a differential equation whose solution is the polyhedron corresponding t...

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Main Authors: Kane, Daniel, Price, Gregory N., Demaine, Erik D.
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Springer 2011
Online Access:http://hdl.handle.net/1721.1/61985
https://orcid.org/0000-0003-3803-5703
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author Kane, Daniel
Price, Gregory N.
Demaine, Erik D.
author2 Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
author_facet Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Kane, Daniel
Price, Gregory N.
Demaine, Erik D.
author_sort Kane, Daniel
collection MIT
description Alexandrov’s Theorem states that every metric with the global topology and local geometry required of a convex polyhedron is in fact the intrinsic metric of some convex polyhedron. Recent work by Bobenko and Izmestiev describes a differential equation whose solution is the polyhedron corresponding to a given metric. We describe an algorithm based on this differential equation to compute the polyhedron to arbitrary precision given the metric, and prove a pseudopolynomial bound on its running time.
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spelling mit-1721.1/619852022-09-29T16:48:08Z A pseudopolynomial algorithm for Alexandrov's theorem Kane, Daniel Price, Gregory N. Demaine, Erik D. Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Demaine, Erik D. Price, Gregory N. Demaine, Erik D. Alexandrov’s Theorem states that every metric with the global topology and local geometry required of a convex polyhedron is in fact the intrinsic metric of some convex polyhedron. Recent work by Bobenko and Izmestiev describes a differential equation whose solution is the polyhedron corresponding to a given metric. We describe an algorithm based on this differential equation to compute the polyhedron to arbitrary precision given the metric, and prove a pseudopolynomial bound on its running time. National Science Foundation (U.S.) (Career award CCF-0347776) National Science Foundation (U.S.). Graduate Research Fellowship Program 2011-03-28T20:29:25Z 2011-03-28T20:29:25Z 2009-01 Article http://purl.org/eprint/type/ConferencePaper 978-3-642-03367-4 http://hdl.handle.net/1721.1/61985 Kane, Daniel, Gregory N. Price and Erik D. Demaine, "A Pseudopolynomial Algorithm for Alexandrov’s Theorem" Algorithms and data structures (Lecture notes in computer science, v. 5664,2009)435-446. Copyright © 2009, Springer . https://orcid.org/0000-0003-3803-5703 en_US http://dx.doi.org/10.1007/978-3-642-03367-4_38 Algorithms and data structures (Conference) Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf Springer MIT web domain
spellingShingle Kane, Daniel
Price, Gregory N.
Demaine, Erik D.
A pseudopolynomial algorithm for Alexandrov's theorem
title A pseudopolynomial algorithm for Alexandrov's theorem
title_full A pseudopolynomial algorithm for Alexandrov's theorem
title_fullStr A pseudopolynomial algorithm for Alexandrov's theorem
title_full_unstemmed A pseudopolynomial algorithm for Alexandrov's theorem
title_short A pseudopolynomial algorithm for Alexandrov's theorem
title_sort pseudopolynomial algorithm for alexandrov s theorem
url http://hdl.handle.net/1721.1/61985
https://orcid.org/0000-0003-3803-5703
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