SpringerBriefs in Optimization: Theory, Methods and Examples

Peypouquet, Juan

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.

Details

Published by: Springer

Publication Date: 2015-03-30

Format: Paperback

ISBN-13: 9783319137094

DOI: 10.1007/978-3-319-13710-0

Dimensions: 235cm x155cm

Pages: 124