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Nonlinear Combinatorial Optimization

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Nonlinear Combinatorial Optimization Synopsis

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. 

About This Edition

ISBN: 9783030161965
Publication date: 14th August 2020
Author: Ding-Zhu Du
Publisher: Springer Nature Switzerland AG
Format: Paperback
Pagination: 315 pages
Series: Springer Optimization and Its Applications
Genres: Optimization
Algorithms and data structures
Information theory
Discrete mathematics
Geometry
Topology