| Автор | Griewank, Andreas |
| Дата выпуска | 2003 |
| dc.description | Automatic, or algorithmic, differentiation addresses the need for the accurate and efficient calculation of derivative values in scientific computing. To this end procedural programs for the evaluation of problem-specific functions are transformed into programs that also compute the required derivative values at the same numerical arguments in floating point arithmetic. Disregarding many important implementation issues, we examine in this article complexity bounds and other more mathematical aspects of the program transformation task sketched above. |
| Издатель | Cambridge University Press |
| Название | A mathematical view of automatic differentiation |
| DOI | 10.1017/S0962492902000132 |
| Electronic ISSN | 1474-0508 |
| Print ISSN | 0962-4929 |
| Журнал | Acta Numerica |
| Том | 12 |
| Первая страница | 321 |
| Последняя страница | 398 |
| Аффилиация | Griewank Andreas; Technische Universität Dresden |
