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
Other Authors: Du, Ding-Zhu (Editor), Pardalos, Panos M. (Editor), Zhang, Zhao (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2019, 2019
Edition:1st ed. 2019
Series:Springer Optimization and Its Applications
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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245 0 0 |a Nonlinear Combinatorial Optimization  |h Elektronische Ressource  |c edited by Ding-Zhu Du, Panos M. Pardalos, Zhao Zhang 
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300 |a VIII, 315 p. 29 illus., 9 illus. in color  |b online resource 
505 0 |a 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 
653 |a Algorithms 
653 |a Convex geometry  
653 |a Data Structures and Information Theory 
653 |a Calculus of Variations and Optimization 
653 |a Information theory 
653 |a Topology 
653 |a Data structures (Computer science) 
653 |a Discrete Mathematics 
653 |a Convex and Discrete Geometry 
653 |a Discrete mathematics 
653 |a Discrete geometry 
653 |a Mathematical optimization 
653 |a Calculus of variations 
700 1 |a Pardalos, Panos M.  |e [editor] 
700 1 |a Zhang, Zhao  |e [editor] 
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520 |a 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