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Introduction to nonsmooth optimization : Theory, practice and software / by Adil Bojirov, Napsu Karmitsa andMarko M Makela

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Switzerland : Springer, 2014.Description: xviii, 372p. : illISBN:
  • 9783319081137
Subject(s): Other classification:
  • B2893 Q4 TOR
Summary: This book is the first easy-to-read text on nonsmooth optimization (NSO, not necessarily differentiable optimization). Solving these kinds of problems plays a critical role in many industrial applications and real-world modeling systems, for example in the context of image denoising, optimal control, neural network training, data mining, economics and computational chemistry and physics. The book covers both the theory and the numerical methods used in NSO and provide an overview of different problems arising in the field. It is organized into three parts: 1. convex and nonconvex analysis and the theory of NSO; 2. test problems and practical applications; 3. a guide to NSO software.
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Textbook Textbook Central Science Library Central Science Library B2893 Q4 TOR (Browse shelf(Opens below)) Available SL1598112

References 357-368p.; Index 369-372p.

This book is the first easy-to-read text on nonsmooth optimization (NSO, not necessarily differentiable optimization). Solving these kinds of problems plays a critical role in many industrial applications and real-world modeling systems, for example in the context of image denoising, optimal control, neural network training, data mining, economics and computational chemistry and physics. The book covers both the theory and the numerical methods used in NSO and provide an overview of different problems arising in the field. It is organized into three parts:
1. convex and nonconvex analysis and the theory of NSO;
2. test problems and practical applications;
3. a guide to NSO software.

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