LEADER 03804nam 22006975 450 001 9911007461803321 005 20250522130302.0 010 $a3-031-87405-6 024 7 $a10.1007/978-3-031-87405-5 035 $a(MiAaPQ)EBC32128684 035 $a(Au-PeEL)EBL32128684 035 $a(CKB)38874967500041 035 $a(DE-He213)978-3-031-87405-5 035 $a(EXLCZ)9938874967500041 100 $a20250522d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aOptimization via Relaxation and Decomposition $eApplications to Large-Scale Engineering Problems /$fby Gonzalo E. Constante-Flores, Antonio J. Conejo 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (313 pages) 225 1 $aInternational Series in Operations Research & Management Science,$x2214-7934 ;$v364 311 08$a3-031-87404-8 327 $aRelaxation and Decomposition -- Simplifying via Reformulation, Approximation, and Relaxation -- Approximating and Relaxing Optimization Problems -- Learning-Assisted Relaxations and Approximations -- Solving Optimization Problems with Complicating Variables -- Solving Optimization Problems via Lagrangian Decomposition -- Relaxations and Decomposition in Power Systems Operations. 330 $aThis book offers an up-to-date description of relaxation/approximation and decomposition techniques, demonstrating how their combined use efficiently solves large-scale optimization problems relevant to engineering, particularly in electrical, and industrial engineering, with a focus on energy. Specifically, it presents linear and nonlinear relaxations and approximations that are relevant to optimization problems, introduces complicating constraints and complicating variables decomposition techniques that can take advantage of relaxations and approximations, and examines their applications in the engineering field. Written in an accessible engineering language and filled with numerous illustrative examples and end-of-chapter exercises for all chapters, this book is a valuable resource for advanced undergraduate and graduate students, researchers, and practitioners in power engineering and industrial engineering. Moreover, business students with a keen interest in decision-making problems will also benefit greatly from its practical insights. 410 0$aInternational Series in Operations Research & Management Science,$x2214-7934 ;$v364 606 $aOperations research 606 $aMathematical optimization 606 $aEngineering mathematics 606 $aEngineering$xData processing 606 $aMathematics 606 $aAlgorithms 606 $aOperations Research and Decision Theory 606 $aOptimization 606 $aMathematical and Computational Engineering Applications 606 $aApplications of Mathematics 606 $aAlgorithms 615 0$aOperations research. 615 0$aMathematical optimization. 615 0$aEngineering mathematics. 615 0$aEngineering$xData processing. 615 0$aMathematics. 615 0$aAlgorithms. 615 14$aOperations Research and Decision Theory. 615 24$aOptimization. 615 24$aMathematical and Computational Engineering Applications. 615 24$aApplications of Mathematics. 615 24$aAlgorithms. 676 $a658.403 700 $aConstante Flores$b Gonzalo E$01825540 701 $aConejo$b Antonio J$0767433 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911007461803321 996 $aOptimization via Relaxation and Decomposition$94393311 997 $aUNINA