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Machine Learning and Mathematical Models in Evolutionary Biology: Insights, Innovations, and Applications - Computational Biology
Machine Learning and Mathematical Models in Evolutionary Biology: Insights, Innovations, and Applications - Computational Biology
It discusses the background ideas regarding evolutionary theory, population behavior and computation, and advances to the current topics of evolutionary algorithms, nonlinear modeling, and data-driven analysis.
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Pendiente de lanzamiento | 17 de octubre de 2026 |
| ISBN13 | 9783032258502 |
| Editores | Springer Nature Switzerland AG |
| Páginas | 385 |
| Dimensiones | 150 × 220 × 20 mm · 610 g (Peso (estimado)) |
| Editor | Awasthi, Mukesh Kumar |
| Editor | Singh, Satyvir |