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Introduction to Unconstrained Optimization with R 2019 edition
Shashi Kant Mishra
Introduction to Unconstrained Optimization with R 2019 edition
Shashi Kant Mishra
The book highlights methods such as the steepest descent method, Newton method, conjugate direction method, conjugate gradient methods, quasi-Newton methods, rank one correction formula, DFP method, BFGS method and their algorithms, convergence analysis, and proofs.
304 pages, 50 Illustrations, color; 715 Illustrations, black and white; XVI, 304 p. 765 illus., 50 i
Mídia | Livros Hardcover Book (Livro com lombada e capa dura) |
Lançado | 14 de janeiro de 2020 |
ISBN13 | 9789811508936 |
Editoras | Springer Verlag, Singapore |
Páginas | 304 |
Dimensões | 239 × 161 × 22 mm · 674 g |
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