Nonlinear combinatorial optimization / 
edited by Ding-Zhu Du, Panos M. Pardalos and Zhao Zhang. 
 - Switzerland :  Springer,  2019. 
 - viii, 315 p. :  ill. ;  24 cm. 
 - Springer optimization and its application; 147 .
<br/><br/>Includes bibliographical references and index. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9783030161965 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Numerical analysis.<br/>Algorithms.
<br/><br/><label>Dewey Class. No.: </label>519.64  / DU/N