An Introduction to Convexity, Optimization, and Algorithms Debbie Moose this resource walks readers through

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An Introduction to Convexity, Optimization, and Algorithms Debbie Moose this resource walks readers throughThis 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