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Elements of the General Theory of Optimal Algorithms - Springer Optimization and Its Applications Ivan V. Sergienko 1st ed. 2021 edition
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Elements of the General Theory of Optimal Algorithms - Springer Optimization and Its Applications
Ivan V. Sergienko
In this monograph, the authors develop a methodology that allows one to construct and substantiate optimal and suboptimal algorithms to solve problems in computational and applied mathematics.
378 pages, 9 Illustrations, black and white; XVII, 378 p. 9 illus.
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 12 de enero de 2022 |
| ISBN13 | 9783030909062 |
| Editores | Springer Nature Switzerland AG |
| Páginas | 378 |
| Dimensiones | 165 × 241 × 30 mm · 762 g |
| Lengua | Alemán |
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