000			02722nam a22002177a 4500
005			20251016165801.0
008			251016b |||||||| |||| 00| 0 eng d
020			_a9783031874048
082			_a519.6 _bCON
100			_aConstante-Flores, Gonzalo E. _925094
245			_aOptimization via relaxation and decomposition: _bapplications to large-scale engineering problems
260			_aCham _bSpringer _c2025
300			_axvii, 262 p.
365			_aEURO _b109.99
500			_aTable of contents: Front Matter Pages i-xvi Download chapter PDF Relaxation and Decomposition Gonzalo E. Constante-Flores, Antonio J. Conejo Pages 1-10 Simplifying via Reformulation, Approximation, and Relaxation Gonzalo E. Constante-Flores, Antonio J. Conejo Pages 11-44 Approximating and Relaxing Optimization Problems Gonzalo E. Constante-Flores, Antonio J. Conejo Pages 45-72 Learning-Assisted Relaxations and Approximations Gonzalo E. Constante-Flores, Antonio J. Conejo Pages 73-103 Solving Optimization Problems with Complicating Variables Gonzalo E. Constante-Flores, Antonio J. Conejo Pages 105-148 Solving Optimization Problems via Lagrangian Decomposition Gonzalo E. Constante-Flores, Antonio J. Conejo Pages 149-192 Relaxations and Decomposition in Power Systems Operations Gonzalo E. Constante-Flores, Antonio J. Conejo Pages 193-236 [https://link.springer.com/book/10.1007/978-3-031-87405-5]
520			_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. (https://link.springer.com/book/10.1007/978-3-031-87405-5)
650			_aComputational engineering applications _925612
650			_aApplications of mathematics _97713
700			_aConejo, Antonio J. _925613
942			_cBK _2ddc
999			_c10510 _d10510