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Large-Scale Convex Optimization (English, Ernest K. Ryu | Wotao Yin)-29% OFF
Cambridge University Press

Large-Scale Convex Optimization (English, Ernest K. Ryu | Wotao Yin)

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Specifications

PublisherCambridge University Press
LanguageEnglish
ISBN-139781009160858
ISBN-101009160850
AuthorErnest K. Ryu | Wotao Yin

Product Description

Here on GlowMirror, you'll find Large-Scale Convex Optimization filed under Cambridge University Press -- everything you need to know is covered below.

About the Book

Starting from where a first course in convex optimization leaves off, this text presents a unified analysis of first-order optimization methods - including parallel-distributed algorithms - through the abstraction of monotone operators. With the increased computational power and availability of big data over the past decade, applied disciplines have demanded that larger and larger optimization problems be solved. This text covers the first-order…

ISBN: 9781009160858

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What You'll Learn

  • ·In-depth exploration of topics covered in Large-Scale Convex Optimization
  • ·Key concepts explained with clarity and practical examples
  • ·Insights valuable for anyone studying or working in Cambridge University Press

Who Should Read This

Students and professionals interested in Cambridge University Press, as well as general readers looking to expand their knowledge.

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Who is the author of Large-Scale Convex Optimization?
Large-Scale Convex Optimization is authored by Ernest K. Ryu | Wotao Yin.
Who published Large-Scale Convex Optimization?
Large-Scale Convex Optimization is published by Cambridge University Press.
How many pages does Large-Scale Convex Optimization have?
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How long does it take to read Large-Scale Convex Optimization?
At an average reading speed of 250 words per minute, reading Large-Scale Convex Optimization takes a few hours to a few days depending on reading pace.
What is Large-Scale Convex Optimization about?
About the Book Starting from where a first course in convex optimization leaves off, this text presents a unified analysis of first-order optimization methods - including parallel-distributed algorithms - through the abstraction of monotone operators. With the increased computational power and ava...
Is Large-Scale Convex Optimization suitable for beginners?
Whether Large-Scale Convex Optimization is suitable for beginners depends on your background in Cambridge University Press. Review the product description and specifications above for details on the target audience and difficulty level.
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