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dc.contributor.authorMattos Da Silva, Leticia
dc.contributor.authorStein, Oded
dc.contributor.authorSolomon, Justin
dc.date.accessioned2024-06-03T19:48:53Z
dc.date.available2024-06-03T19:48:53Z
dc.date.issued2024-05-28
dc.identifier.issn0730-0301
dc.identifier.issn1557-7368
dc.identifier.urihttps://hdl.handle.net/1721.1/155164
dc.description.abstractWe introduce a framework for solving a class of parabolic partial differential equations on triangle mesh surfaces, including the Hamilton-Jacobi equation and the Fokker-Planck equation. PDE in this class often have nonlinear or stiff terms that cannot be resolved with standard methods on curved triangle meshes. To address this challenge, we leverage a splitting integrator combined with a convex optimization step to solve these PDE. Our machinery can be used to compute entropic approximation of optimal transport distances on geometric domains, overcoming the numerical limitations of the state-of-the-art method. In addition, we demonstrate the versatility of our method on a number of linear and nonlinear PDE that appear in diffusion and front propagation tasks in geometry processing.en_US
dc.publisherAssociation for Computing Machinery (ACM)en_US
dc.relation.isversionof10.1145/3666087en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceAssociation for Computing Machineryen_US
dc.titleA Framework for Solving Parabolic Partial Differential Equations on Discrete Domainsen_US
dc.typeArticleen_US
dc.identifier.citationMattos Da Silva, Leticia, Stein, Oded and Solomon, Justin. 2024. "A Framework for Solving Parabolic Partial Differential Equations on Discrete Domains." ACM Transactions on Graphics.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.contributor.departmentMassachusetts Institute of Technology. Center for Computational Science and Engineering
dc.relation.journalACM Transactions on Graphicsen_US
dc.identifier.mitlicensePUBLISHER_CC
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2024-06-01T07:45:17Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2024-06-01T07:45:18Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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