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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)
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
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | December 11, 2024 |
| ISBN13 | 9781032740560 |
| Publishers | Taylor & Francis Ltd |
| Pages | 288 |
| Dimensions | 150 × 220 × 20 mm · 640 g |
| Language | English |
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