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.
Format: Hardback
CONTRIBUTORS: Ding-Zhu Du
EAN: 9783030161934
COUNTRY: Switzerland
PAGES:
WEIGHT: 653 g
HEIGHT: 235 cm
PUBLISHED BY: Springer Nature Switzerland AG
DATE PUBLISHED: 2019-06-14
CITY:
GENRE: COMPUTERS / Information Theory, COMPUTERS / Programming / Algorithms, MATHEMATICS / Calculus, MATHEMATICS / Geometry / Analytic, MATHEMATICS / Combinatorics
WIDTH: 155 cm
SPINE:
Book Themes:
Information theory, Discrete mathematics, Geometry, Topology, Optimization, Algorithms and data structures
“Each chapter can be read by its own and does not assume knowledge from one of the other chapters. … All in all, the book ‘Nonlinear combinatorial optimization’ introduces some interesting topics in this relatively new field.” (Isabel Beckenbach, zbMATH 1480.90209, 2022)
