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An Introduction to Convexity, Optimization, and Algorithms Debbie Moose Providing a comprehensive introduction toThis 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