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＜電子ブック＞
Nonlinear Combinatorial Optimization / edited by Ding-Zhu Du, Panos M. Pardalos, Zhao Zhang
(Springer Optimization and Its Applications. ISSN:19316836 ; 147)

版	1st ed. 2019.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2019
本文言語	英語
大きさ	VIII, 315 p. 29 illus., 9 illus. in color : online resource
著者標目	Du, Ding-Zhu editor Pardalos, Panos M editor Zhang, Zhao editor SpringerLink (Online service)
件　名	LCSH:Mathematical optimization LCSH:Calculus of variations LCSH:Data structures (Computer science) LCSH:Information theory LCSH:Discrete mathematics LCSH:Convex geometry  LCSH:Discrete geometry LCSH:Algorithms LCSH:Topology FREE:Calculus of Variations and Optimization FREE:Data Structures and Information Theory FREE:Discrete Mathematics FREE:Convex and Discrete Geometry FREE:Algorithms FREE:Topology
一般注記	A role of minimum spanning tree -- Discrete Newton method -- An overview of submodular optimization: single- and multi-objectives -- Discrete convex optimization and applications in supply chain management -- Thresholding methods for streaming submodular maximization with a cardinality constraint and its variants -- Nonsubmodular optimization -- On block-structured integer programming and its applications -- Online combinatorial optimization problems with nonlinear objectives -- Solving combinatorial problems with machine learning methods -- Modeling malware propagation dynamics and developing prevention method in wireless sensor networks -- Composed influence in social networks -- Friending -- Optimization on content spread in social network studies -- Interation-aware influence maximization in social networks -- Multi-document extractive summarization as a nonlinear combinatorial optimization- Viral marketing for complementary products 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 HTTP:URL=https://doi.org/10.1007/978-3-030-16194-1

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