LEADER 03435nam 22005655 450 001 9910254279103321 005 20200703130914.0 010 $a3-319-56769-1 024 7 $a10.1007/978-3-319-56769-3 035 $a(CKB)4340000000062045 035 $a(DE-He213)978-3-319-56769-3 035 $a(MiAaPQ)EBC5577052 035 $a(PPN)202991601 035 $a(EXLCZ)994340000000062045 100 $a20170624d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aOptimization in Engineering $eModels and Algorithms /$fby Ramteen Sioshansi, Antonio J. Conejo 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XV, 412 p. 71 illus., 26 illus. in color.) 225 1 $aSpringer Optimization and Its Applications,$x1931-6828 ;$v120 311 $a3-319-56767-5 320 $aIncludes bibliographical references and index. 327 $a1. Optimization is Ubiquitous -- 2. Linear Optimization -- 3. Mixed-Integer Linear Optimization -- 4. Nonlinear Optimization -- 5. Iterative Solution Algorithms for Nonlinear Optimization -- 6. Dynamic Optimization -- A. Taylor Approximations and Definite Matrices -- B. Convexity -- Index. 330 $aThis textbook covers the fundamentals of optimization, including linear, mixed-integer linear, nonlinear, and dynamic optimization techniques, with a clear engineering focus. It carefully describes classical optimization models and algorithms using an engineering problem-solving perspective, and emphasizes modeling issues using many real-world examples related to a variety of application areas. Providing an appropriate blend of practical applications and optimization theory makes the text useful to both practitioners and students, and gives the reader a good sense of the power of optimization and the potential difficulties in applying optimization to modeling real-world systems. The book is intended for undergraduate and graduate-level teaching in industrial engineering and other engineering specialties. It is also of use to industry practitioners, due to the inclusion of real-world applications, opening the door to advanced courses on both modeling and algorithm development within the industrial engineering and operations research fields. 410 0$aSpringer Optimization and Its Applications,$x1931-6828 ;$v120 606 $aMathematical optimization 606 $aIndustrial engineering 606 $aProduction engineering 606 $aOptimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26008 606 $aIndustrial and Production Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T22008 615 0$aMathematical optimization. 615 0$aIndustrial engineering. 615 0$aProduction engineering. 615 14$aOptimization. 615 24$aIndustrial and Production Engineering. 676 $a620.0015196 700 $aSioshansi$b Ramteen$4aut$4http://id.loc.gov/vocabulary/relators/aut$0767432 702 $aConejo$b Antonio J$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254279103321 996 $aOptimization in Engineering$92162749 997 $aUNINA