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Automatic Differentiation of Algorithms: from Simulation to Optimization G Corliss
Automatic Differentiation of Algorithms: from Simulation to Optimization
G Corliss
Focuses on the key relationships and synergies between automatic differentiation (AD) tools and other software tools, such as compilers and parallelizers, as well as their applications. This title sheds light on a variety of perspectives that reflect the mathematical aspects, such as the differentiation of iterative processes.
432 pages, 84 black & white illustrations, biography
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2002. gada 8. janvāris |
| ISBN13 | 9780387953052 |
| Izdevēji | Springer-Verlag New York Inc. |
| Lapas | 432 |
| Izmēri | 178 × 254 × 25 mm · 748 g |
| Valoda | Angļu |
| Redaktors | Corliss, George |
| Redaktors | Faure, Christele |
| Redaktors | Griewank, Andreas |
| Redaktors | Hascoet, Laurent |
| Redaktors | Naumann, Uwe |