LEADER 05662nam 22009255 450 001 9910983040103321 005 20250918133942.0 010 $a9783031783692 010 $a3031783697 024 7 $a10.1007/978-3-031-78369-2 035 $a(CKB)37178122900041 035 $a(MiAaPQ)EBC31876264 035 $a(Au-PeEL)EBL31876264 035 $a(DE-He213)978-3-031-78369-2 035 $a(OCoLC)1484013823 035 $a(EXLCZ)9937178122900041 100 $a20250109d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aOptimization, Discrete Mathematics and Applications to Data Sciences /$fedited by Ashkan Nikeghbali, Panos M. Pardalos, Michael Th. Rassias 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (361 pages) 225 1 $aSpringer Optimization and Its Applications,$x1931-6836 ;$v220 311 08$a9783031783685 311 08$a3031783689 327 $aOn the morphism 1 121, 2 12221 -- Polynomials and combinatorial identities -- Rainbow Greedy Matching Algorithms -- Predictive models of Non-Performing Loans: the case of Greece -- The Cost of Detection in Interaction Testing -- On the study of cycle chains representing non-reversible Markov chains associated with random walks with jumps in fixed environments -- Applying Distance Measures for Discrete Data -- Demand aggregation and mid-term energy planning problem on the business layer -- Factor Fitting, Rank Allocation, and Partitioning in Multilevel Low Rank Matrices -- A Code-based Watermarking Scheme for the Protection of Authenticity of Medical Images -- The minimum cost energy flow problem under demand uncertainty Effect on optimal solution, variability, worst and best case scenarios -- A mathematical study of the Braess?s Paradox within a network comprising four nodes, five edges, and linear time functions -- On similiarities between two global optimization algorithms based on different (Bayesian and Lipschitzian) approaches. 330 $aThis book delves into the dynamic intersection of optimization and discrete mathematics, offering a comprehensive exploration of their applications in data sciences. Through a collection of high-quality papers, readers will gain insights into cutting-edge research and methodologies that address complex problems across a wide array of topics. The chapters cover an impressive range of subjects, including advances in the study of polynomials, combinatorial identities, and global optimization algorithms. Readers will encounter innovative approaches to predictive models for non-performing loans, rainbow greedy matching algorithms, and the cost of detection in interaction testing. The book also examines critical issues such as demand aggregation, mid-term energy planning, and minimum-cost energy flow. Contributions from expert authors provide a deep dive into multilevel low-rank matrices, the protection of medical image authenticity, and the mathematical intricacies of the Braess paradox. This volume invites readers to explore diverse perspectives and theoretical insights that are both practical and forward-thinking. This publication is an invaluable resource for graduate students and advanced researchers in the fields of optimization and discrete mathematics. It is particularly beneficial for those interested in their applications within data sciences. Academics across these disciplines will find the book's content relevant to their work, while practitioners seeking to apply these concepts in industry will appreciate its practical case studies. Whether you are a scholar or a professional, this book offers a wealth of knowledge that bridges theory with real-world applications. 410 0$aSpringer Optimization and Its Applications,$x1931-6836 ;$v220 606 $aMathematical optimization 606 $aDiscrete mathematics 606 $aNumber theory 606 $aSystem theory 606 $aControl theory 606 $aConvex geometry 606 $aDiscrete geometry 606 $aOptimization 606 $aDiscrete Mathematics 606 $aNumber Theory 606 $aSystems Theory, Control 606 $aConvex and Discrete Geometry 606 $aOptimitzaciķ matemātica$2thub 606 $aMatemātica discreta$2thub 606 $aTeoria de nombres$2thub 606 $aTeoria de sistemes$2thub 606 $aTeoria de control$2thub 606 $aGeometria convexa$2thub 608 $aLlibres electrōnics$2thub 615 0$aMathematical optimization. 615 0$aDiscrete mathematics. 615 0$aNumber theory. 615 0$aSystem theory. 615 0$aControl theory. 615 0$aConvex geometry. 615 0$aDiscrete geometry. 615 14$aOptimization. 615 24$aDiscrete Mathematics. 615 24$aNumber Theory. 615 24$aSystems Theory, Control. 615 24$aConvex and Discrete Geometry. 615 7$aOptimitzaciķ matemātica 615 7$aMatemātica discreta 615 7$aTeoria de nombres 615 7$aTeoria de sistemes 615 7$aTeoria de control 615 7$aGeometria convexa 676 $a519.6 700 $aNikeghbali$b Ashkan$0755984 701 $aPardalos$b Panos M$0318341 701 $aRassias$b Michael Th$0993670 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910983040103321 996 $aOptimization, Discrete Mathematics and Applications to Data Sciences$94316637 997 $aUNINA