This work is intended to serve as a guide for graduate students and researchers who wish to get acquainted with the main theoretical and practical tools for the numerical minimization of convex functions on Hilbert spaces. Therefore, it contains the main tools that are necessary to conduct independent research on the topic. It is also a concise, easy-to-follow and self-contained textbook, which may be useful for any researcher working on related fields, as well as teachers giving graduate-level courses on the topic. It will contain a thorough revision of the extant literature including both classical and state-of-the-art references.
| Autorius: | Juan Peypouquet |
| Serija: | SpringerBriefs in Optimization |
| Leidėjas: | Springer Nature Switzerland |
| Išleidimo metai: | 2015 |
| Knygos puslapių skaičius: | 140 |
| ISBN-10: | 3319137093 |
| ISBN-13: | 9783319137094 |
| Formatas: | Knyga minkštu viršeliu |
| Kalba: | Anglų |
| Žanras: | Optimization |
Parašykite atsiliepimą apie „Convex Optimization in Normed Spaces: Theory, Methods and Examples“
