Nonlinear Combinatorial Optimization /

Graduate students and researchers in applied mathematics, optimization, engineering, computer science, and management science will find this book a useful reference which provides an introduction to applications and fundamental theories in nonlinear combinatorial optimization. Nonlinear combinatoria...

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Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Du, Ding-Zhu (Editor), Pardalos, Panos M. (Editor), Zhang, Zhao (Editor)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:	1st ed. 2019.
Series:	Springer Optimization and Its Applications, 147
Subjects:	Calculus of variations. Data structures (Computer science). Combinatorics. Convex geometry . Discrete geometry. Algorithms. Topology. Calculus of Variations and Optimal Control; Optimization. Data Structures and Information Theory. Convex and Discrete Geometry. Electronic books.
Online Access:	Connect to the full text of this electronic book

Description
Summary:	Graduate students and researchers in applied mathematics, optimization, engineering, computer science, and management science will find 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.
Physical Description:	1 online resource (VIII, 315 pages 29 illustrations, 9 illustrations in color.)
ISBN:	9783030161941
ISSN:	1931-6836 ;
DOI:	10.1007/978-3-030-16194-1