Neculai Andrei
Nonlinear Conjugate Gradient Methods for Unconstrained Optimization - Springer Optimization and Its Applications Neculai Andrei 1st ed. 2020 edition

Name: Nonlinear Conjugate Gradient Methods for Unconstrained Optimization - Springer Optimization and Its Applications
Price: 1007 CNY
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Author: Neculai Andrei

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1st ed. 2020 edition

(2021) 元 1.007

Nonlinear Conjugate Gradient Methods for Unconstrained Optimization - Springer Optimization and Its Applications

Neculai Andrei

1st ed. 2020 edition

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 Hardcover Book (精装硬皮书)
已发行	2020年6月24日
ISBN13	9783030429492
出版商	Springer Nature Switzerland AG
页数	498
商品尺寸	150 × 220 × 20 mm · 911 g
语言	德语