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Advances on Mathematical Modeling and Optimization with Its Applications - Emerging Technologies
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Advances on Mathematical Modeling and Optimization with Its Applications - Emerging Technologies
Discusses machine learning models and their optimization in mathematical modeling. Covers important topics such as linear integer programming, network design problems, mixed integer problems, constrained and unconstrained optimization, constrained integer programming, and gradient-based nonlinear optimization.
310 pages, 111 Line drawings, black and white; 111 Illustrations, black and white
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 28 de marzo de 2024 |
| ISBN13 | 9781032479613 |
| Editores | Taylor & Francis Ltd |
| Páginas | 262 |
| Dimensiones | 150 × 220 × 20 mm · 453 g |
| Lengua | Inglés |
| Editor | Basu Mallik, Biswadip (Institute of Engineering & Management, Kolkata) |
| Editor | Chaudhary, Aryan (Chief Scientific Advisor, Bio Tech Sphere Research, India) |
| Editor | Kar, Rahul (Kalyani Mahavidyalaya, India) |
| Editor | Mukherjee, Gunjan (Brainware University, India) |
