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Advances in High-Order Predictive Modeling: Methodologies and Illustrative Problems - Advances in Applied Mathematics Cacuci, Dan Gabriel (University of South Carolina)
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Advances in High-Order Predictive Modeling: Methodologies and Illustrative Problems - Advances in Applied Mathematics
Cacuci, Dan Gabriel (University of South Carolina)
Continuing the author’s previous work on modeling, this book presents the most recent advances in high-order predictive modeling.
424 pages, 61 Tables, black and white; 33 Illustrations, color; 7 Illustrations, black and white
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2024. gada 11. decembris |
| ISBN13 | 9781032740560 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 288 |
| Izmēri | 150 × 220 × 20 mm · 640 g |
| Valoda | Angļu |
