Description: 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.
Price: 91.98 USD
Location: East Hanover, New Jersey
End Time: 2025-02-06T08:02:56.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
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EAN: 9781611977790
UPC: 9781611977790
ISBN: 9781611977790
MPN: N/A
Item Height: 1 cm
Item Length: 24 cm
Item Weight: 0.27 kg
Item Width: 17 cm
Number of Pages: 186 Pages
Language: English
Publication Name: Introduction to Convexity, Optimization, and Algorithms
Publisher: Society for Industrial AND Applied Mathematics
Subject: General
Publication Year: 2024
Type: Textbook
Subject Area: Mathematics
Author: Heinz H. Bauschke, Walaa M. Moursi
Series: Mos-Siam Series on Optimization Ser.
Format: Trade Paperback
