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Adaptive quadrature for sharply spiked integrands
| Content Provider | Semantic Scholar |
|---|---|
| Author | Agarwal, Samarth Povolotskyi, Michael Kubis, Tillmann Klimeck, Gerhard |
| Copyright Year | 2010 |
| Abstract | A new adaptive quadrature algorithm that places a greater emphasis on cost reduction while still maintaining an acceptable accuracy is demonstrated. The different needs of science and engineering applications are highlighted as the existing algorithms are shown to be inadequate. The performance of the new algorithm is compared with the well known adaptive Simpson, Gauss-Lobatto and Gauss-Kronrod methods. Finally, scenarios where the proposed algorithm outperforms the existing ones are discussed. |
| Starting Page | 252 |
| Ending Page | 255 |
| Page Count | 4 |
| File Format | PDF HTM / HTML |
| DOI | 10.1007/s10825-010-0338-3 |
| Volume Number | 9 |
| Alternate Webpage(s) | http://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1733&context=nanopub |
| Alternate Webpage(s) | https://doi.org/10.1007/s10825-010-0338-3 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
