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Nonlinear Conjugate Gradient Methods for Unconstrained Optimization - Springer Optimization and Its Applications Neculai Andrei 1st ed. 2020 edition
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Nonlinear Conjugate Gradient Methods for Unconstrained Optimization - Springer Optimization and Its Applications
Neculai Andrei
Two approaches are known for solving large-scale unconstrained optimization problems—the limited-memory quasi-Newton method (truncated Newton method) and the conjugate gradient method.
498 pages, 90 Illustrations, color; 3 Illustrations, black and white; XXVIII, 498 p. 93 illus., 90 i
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 24 de junio de 2020 |
| ISBN13 | 9783030429492 |
| Editores | Springer Nature Switzerland AG |
| Páginas | 498 |
| Dimensiones | 162 × 244 × 35 mm · 898 g |
| Lengua | Alemán |
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