An Introduction to Convexity Optimization and Algorithms is popular PDF and ePub book, written by Heinz H. Bauschke in 2023-12-20, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, An Introduction to Convexity Optimization and Algorithms can be Read Online from any device for your convenience.
An Introduction to Convexity Optimization and Algorithms Book PDF Summary
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. Designed for courses in convex analysis, numerical optimization, and related subjects, this volume is intended for undergraduate and graduate students in mathematics, computer science, and engineering. Its concise length makes it ideal for a one-semester course. Researchers and professionals in applied areas, such as data science and machine learning, will find insights relevant to their work.
Detail Book of An Introduction to Convexity Optimization and Algorithms PDF
- Author : Heinz H. Bauschke
- Release : 20 December 2023
- Publisher : SIAM
- ISBN : 9781611977806
- Genre : Mathematics
- Total Page : 192 pages
- Language : English
- PDF File Size : 17,6 Mb
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