Performance Analysis of Error-Control B-spline Gaussian Collocation Software for PDEs

Show simple item record

dc.creator Pew, Jack
dc.creator Li, Zhi
dc.creator Tannahill, Connor
dc.creator Muir, Paul H.
dc.creator Fairweather, Graeme
dc.date.accessioned 2019-01-11T18:34:00Z
dc.date.available 2019-01-11T18:34:00Z
dc.date.issued 2018
dc.identifier.issn 0898-1221
dc.identifier.uri http://library2.smu.ca/handle/01/28211
dc.description Pre-print en_CA
dc.description.abstract B-spline Gaussian collocation software has been widely used in the numerical solution of boundary value ordinary differential equations (BVODEs) and partial differential equations (PDEs) in one space dimension (1D) for many years. The software package, BACOL, developed over a decade ago, was one of the first 1D PDE packages to provide both temporal and spatial error control. A new package, BACOLI, improves upon the efficiency of BACOL through the use of new types of spatial error estimation and control. The complexity of the interactions among the component numerical algorithms used by these packages implies that extensive testing and analysis of the test results is an essential factor in their development. In this paper, we investigate the performance of the BACOL and BACOLI packages with respect to several important machine independent algorithmic measures and examine the effectiveness of the new error estimation and error control strategies. We also investigate the influence of the choice of the degree of the B-splines on the efficiency and reliability of the solvers. These results will provide new insights into how to improve BACOLI, lead to improvements in the Gaussian collocation BVODE solvers, COLSYS and COLNEW, and guide the further development of B-spline Gaussian collocation software with error control for 2D PDEs. en_CA
dc.description.provenance Submitted by Dianne MacPhee (dianne.macphee@smu.ca) on 2019-01-11T18:34:00Z No. of bitstreams: 1 Muir_Paul_article_2018.pdf: 367448 bytes, checksum: 5d5c7e3f3585c3d6c9cdce337fcc5e40 (MD5) en
dc.description.provenance Made available in DSpace on 2019-01-11T18:34:00Z (GMT). No. of bitstreams: 1 Muir_Paul_article_2018.pdf: 367448 bytes, checksum: 5d5c7e3f3585c3d6c9cdce337fcc5e40 (MD5) Previous issue date: 2018-04-02 en
dc.language.iso en en_CA
dc.publisher Elsevier en_CA
dc.relation.uri https://doi.org/10.1016/j.camwa.2018.11.025
dc.subject.lcsh Differential equations, Partial
dc.subject.lcsh Differential equations -- Numerical solutions
dc.subject.lcsh Collocation methods
dc.title Performance Analysis of Error-Control B-spline Gaussian Collocation Software for PDEs en_CA
dc.type Text en_CA
dcterms.bibliographicCitation Computers and Mathematics with Applications (2018) en_CA
 Find Full text

Files in this item

 
Published Version: https://doi.org/10.1016/j.camwa.2018.11.025
 
 

This item appears in the following Collection(s)

Show simple item record