Publication
The MFS-SVD method for the laplace equation in three dimensions
| datacite.subject.fos | Ciências Naturais::Matemáticas | |
| dc.contributor.author | Antunes, Pedro | |
| dc.contributor.author | Santos, Vinicius | |
| dc.contributor.author | Serranho, Pedro | |
| dc.date.accessioned | 2026-01-05T11:18:45Z | |
| dc.date.available | 2026-01-05T11:18:45Z | |
| dc.date.issued | 2025-02-12 | |
| dc.description.abstract | The method of fundamental solutions (MFS) has been widely used to numerically solve boundary value problems involving linear partial differential equations. This method is easy to implement computationally and can be very effective for smooth domains and boundary conditions. The main drawback of the MFS is the ill-conditioning of the associated matrices, which may deteriorate the method’s accuracy. We present three methods to reduce the ill-conditioning of the classical MFS for the Laplace equation defined in bounded star-shaped domains in 3D. The idea is to expand the MFS basis functions in terms of spherical harmonics, in order to use the reduced QR factorization and singular value decomposition to deal with the ill-conditioning, leading to a better function basis that spans the same approximation space as the classical MFS. The numerical results illustrate that these approaches significantly decrease the ill-conditioning, allowing higher accuracy when compared to the classical MFS. | eng |
| dc.identifier.doi | 10.1137/24m1634928 | |
| dc.identifier.issn | 1064-8275 | |
| dc.identifier.issn | 1095-7197 | |
| dc.identifier.uri | http://hdl.handle.net/10400.2/20621 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | Society for Industrial & Applied Mathematics (SIAM) | |
| dc.relation | Group of Mathematical Physics of the University of Lisbon | |
| dc.relation | Coimbra Institute for Biomedical Imaging and Translational Research | |
| dc.relation | Center for Computational and Stochastic Mathematics | |
| dc.relation | UIDP/04621/2020 | |
| dc.relation.hasversion | https://epubs.siam.org/doi/10.1137/24M1634928 | |
| dc.relation.ispartof | SIAM Journal on Scientific Computing | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Method of fundamental solutions | |
| dc.subject | Ill-conditioning | |
| dc.subject | Laplace equation | |
| dc.title | The MFS-SVD method for the laplace equation in three dimensions | eng |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Group of Mathematical Physics of the University of Lisbon | |
| oaire.awardTitle | Coimbra Institute for Biomedical Imaging and Translational Research | |
| oaire.awardTitle | Center for Computational and Stochastic Mathematics | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00208%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04950%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04621%2F2020/PT | |
| oaire.citation.issue | 1 | |
| oaire.citation.title | SIAM Journal on Scientific Computing | |
| oaire.citation.volume | 47 | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.version | http://purl.org/coar/version/c_ab4af688f83e57aa | |
| person.familyName | Antunes | |
| person.familyName | Santos | |
| person.familyName | Serranho | |
| person.givenName | Pedro | |
| person.givenName | Vinicius | |
| person.givenName | Pedro | |
| person.identifier.ciencia-id | 6710-138C-A69D | |
| person.identifier.ciencia-id | 031F-5D62-E6EC | |
| person.identifier.orcid | 0000-0003-1969-1860 | |
| person.identifier.orcid | 0009-0008-5647-4519 | |
| person.identifier.orcid | 0000-0003-2176-3923 | |
| person.identifier.rid | M-2406-2015 | |
| person.identifier.scopus-author-id | 55346859100 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
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