Convex Optimization in Normed Spaces: Theory, Methods and Examples

By Steve Marschner, Peter Shirley, Michael Ashikhmin

Book Overview

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.

• Format: Paperback
• Language: English
• ISBN: 3319137093
• ISBN13: 9783319137094
• Release Date: March 2015
• Publisher: Springer
• Length: 124 Pages
• Weight: 0.45 lbs.
• Dimensions: 0.3" x 6.1" x 9.2"

Customer Reviews

Good Quick Reference for Beginners

I bought this book from a book sale in our Computer Science department about 5 years ago. It has come in handy a few times when working on projects for school and I needed a quick reference. The book gives you the syntax and simple code examples without all the long explanations that run rampant in textbooks. There are also small exercises that accompany each section of the book. This is great if you are a student and...