Nonlinear combinatorial optimization / edited by Ding-Zhu Du, Panos M. Pardalos and Zhao Zhang.

Contributor(s):

Language: English Series: Springer optimization and its application; 147Publication details: Switzerland : Springer, 2019.Description: viii, 315 p. : ill. ; 24 cmISBN:

9783030161965

Subject(s):

DDC classification:

519.64 DU/N

Summary: This book a useful reference which provides an introduction to applications and fundamental theories in nonlinear combinatorial optimization. Nonlinear combinatorial optimization is a new research area within combinatorial optimization and includes numerous applications to technological developments, such as wireless communication, cloud computing, data science, and social networks. Theoretical developments including discrete Newton methods, primal-dual methods with convex relaxation, submodular optimization, discrete DC program, along with several applications are discussed and explored in this book through articles by leading experts.

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Holdings
Item type	Current library	Home library	Collection	Call number	Status	Date due	Barcode	Item holds
Technical Reference Book	Central Library, IIT Bhubaneswar	Central Library, IIT Bhubaneswar	SES	519.64 DU/N (Browse shelf(Opens below))	Available		10774

Total holds: 0

Includes bibliographical references and index.

This book a useful reference which provides an introduction to applications and fundamental theories in nonlinear combinatorial optimization. Nonlinear combinatorial optimization is a new research area within combinatorial optimization and includes numerous applications to technological developments, such as wireless communication, cloud computing, data science, and social networks. Theoretical developments including discrete Newton methods, primal-dual methods with convex relaxation, submodular optimization, discrete DC program, along with several applications are discussed and explored in this book through articles by leading experts.

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