Nonlinear Conjugate Gradient Methods for Unconstrained Optimization - Springer Optimization and Its Applications - Neculai Andrei - Books - Springer Nature Switzerland AG - 9783030429492 - June 24, 2020
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Neculai Andrei
Nonlinear Conjugate Gradient Methods for Unconstrained Optimization - Springer Optimization and Its Applications 1st ed. 2020 edition

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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

Media Books     Hardcover Book   (Book with hard spine and cover)
Released June 24, 2020
ISBN13 9783030429492
Publishers Springer Nature Switzerland AG
Pages 498
Dimensions 150 × 220 × 20 mm   ·   911 g
Language German  
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