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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
| 介质类型 | 图书 Paperback Book (平装胶订图书) |
| 已发行 | 2021年6月24日 |
| ISBN13 | 9783030429522 |
| 出版商 | Springer Nature Switzerland AG |
| 页数 | 498 |
| 商品尺寸 | 234 × 155 × 30 mm · 790 g |
| 语言 | 德语 |
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