An Introduction to Convexity, Optimization, and Algorithms

By Heinz H. Bauschke

This concise, self-contained volume introduces convex analysis and optimization algorithms, with an emphasis on bridging the two areas. It explores cutting-edge algorithms--such as the proximal gradient, Douglas-Rachford, Peaceman-Rachford, and FISTA--that have applications in machine learning, signal processing, image reconstruction, and other fields. An Introduction to Convexity, Optimization, and Algorithms contains algorithms illustrated by Julia examples and more than 200 exercises that enhance the reader's understanding of the topic. Clear explanations and step-by-step algorithmic descriptions facilitate self-study for individuals looking to enhance their expertise in convex analysis and optimization.

• Format: Paperback
• Language: English
• ISBN: 1611977797
• ISBN13: 9781611977790
• Release Date: December 2023
• Publisher: SIAM - Society for Industrial and Applied Mathematics
• Length: 191 Pages
• Weight: 0.90 lbs.
• Dimensions: 1.0" x 7.0" x 10.0"