Recomienda este artículo a tus amigos:
Nonlinear Conjugate Gradient Methods for Unconstrained Optimization - Springer Optimization and Its Applications 1st ed. 2020 edition
Neculai Andrei
Los regalos de Navidad se podrán canjear hasta el 31 de enero
Nuestros clientes opinan:
Añadir a tu lista de deseos de iMusic
Nonlinear Conjugate Gradient Methods for Unconstrained Optimization - Springer Optimization and Its Applications 1st ed. 2020 edition
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 | 911 g |
Mostrar todo
Mas por Neculai Andrei
![Cover for Neculai Andrei · Nonlinear Optimization Applications Using the GAMS Technology - Springer Optimization and Its Applications (Paperback Book) [Softcover reprint of the original 1st ed. 2013 edition] (2016)](https://imusic.b-cdn.net/images/item/original/599/9781489979599.jpg?neculai-andrei-2016-nonlinear-optimization-applications-using-the-gams-technology-springer-optimization-and-its-applications-paperback-book&class=scaled&v=1614275142)
Ver todo de Neculai Andrei ( Ej. Paperback Book y Hardcover Book )