Nonlinear combinatorial optimization [Documento eletrónico] / edited by Ding-Zhu Du, Panos M. Pardalos, Zhao Zhang
Language: eng.Country: Switzerland, Swiss Confederation.Publication: Cham : Springer, 2019Description: VIII, 315 p. : il.ISBN: 978-3-030-16194-1.Series: Springer Optimization and Its Applications, 147Subject - Topical Name: Mathematical optimization | Calculus of variations | Data structures (Computer science) | Information theory | Discrete mathematics | Convex geometry | Discrete geometry | Algorithms | Topology Online Resources:Click here to access onlineItem type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
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E-Books | Biblioteca NOVA FCT Online | Não Ficção | QA402.5.SPR FCT (Browse shelf(Opens below)) | 1 | Available | 96799 |
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.
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