Optimization, Discrete Mathematics and Applications to Data S... - 9783031783685

Optimization, Discrete Mathematics and Applications to Data SciencesAuthor(s): Ashkan Nikeghbali, Panos M. Pardalos, Michael Th. Rassias\nFormat: Hardback\nPublisher: Springer International Publishing AG, Switzerland\nImprint: Springer International Publishing AG\nISBN-13: 9783031783685, 978-3031783685\nSynopsis\nThis book delves into the dynamic intersection of optimization and discrete mathematics, offering a comprehensive exploration of their applications in data sciences. Through a collection of high-quality papers, readers will gain insights into cutting-edge research and methodologies that address complex problems across a wide array of topics.\n\nThe chapters cover an impressive range of subjects, including advances in the study of polynomials, combinatorial identities, and global optimization algorithms. Readers will encounter innovative approaches to predictive models for non-performing loans, rainbow greedy matching algorithms, and the cost of detection in interaction testi.