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A01=Jong-Shi Pang
A01=Ying Cui
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Age Group_Uncategorized
Author_Jong-Shi Pang
Author_Ying Cui
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Category1=Non-Fiction
Category=PBT
COP=United States
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Language_English
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Modern Nonconvex Nondifferentiable Optimization

English

By (author): Jong-Shi Pang Ying Cui

Starting with the fundamentals of classical smooth optimization and building on established convex programming techniques, this research monograph presents a foundation and methodology for modern nonconvex nondifferentiable optimization. It provides readers with theory, methods, and applications of nonconvex and nondifferentiable optimization in statistical estimation, operations research, machine learning, and decision making.

A comprehensive and rigorous treatment of this emergent mathematical topic is urgently needed in today's complex world of big data and machine learning. This book takes a thorough approach to the subject and includes examples and exercises to enrich the main themes, making it suitable for classroom instruction.

Modern Nonconvex Nondifferentiable Optimization is intended for applied and computational mathematicians, optimizers, operations researchers, statisticians, computer scientists, engineers, economists, and machine learners. It could be used in advanced courses on optimization/operations research and nonconvex and nonsmooth optimization. See more
Current price €125.39
Original price €131.99
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A01=Jong-Shi PangA01=Ying CuiAge Group_UncategorizedAuthor_Jong-Shi PangAuthor_Ying Cuiautomatic-updateCategory1=Non-FictionCategory=PBTCOP=United StatesDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€100 and abovePS=Activesoftlaunch
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Product Details
  • Weight: 1752g
  • Publication Date: 28 Feb 2022
  • Publisher: Society for Industrial & Applied MathematicsU.S.
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9781611976731

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