Automatic Differentiation of Algorithms: from Simulation to Optimization - G Corliss - Grāmatas - Springer-Verlag New York Inc. - 9780387953052 - 2002. gada 8. janvāris
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Automatic Differentiation of Algorithms: from Simulation to Optimization

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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

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