LEADER 03636nam 22005535 450 001 9910624387903321 005 20251009110002.0 010 $a9783031112980$b(electronic bk.) 010 $z9783031112973 024 7 $a10.1007/978-3-031-11298-0 035 $a(MiAaPQ)EBC7127580 035 $a(Au-PeEL)EBL7127580 035 $a(CKB)25219369400041 035 $a(PPN)265856671 035 $a(DE-He213)978-3-031-11298-0 035 $a(OCoLC)1350356704 035 $a(EXLCZ)9925219369400041 100 $a20221028d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPractical Chemical Process Optimization $eWith MATLABŪ and GAMSŪ /$fby Ioannis K. Kookos 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (444 pages) 225 1 $aSpringer Optimization and Its Applications,$x1931-6836 ;$v197 311 08$aPrint version: Kookos, Ioannis K. Practical Chemical Process Optimization Cham : Springer International Publishing AG,c2022 9783031112973 327 $a1. Preliminary concepts and definitions -- 2. Multidimensional unconstrained optimization -- 3. Constrained optimization -- 4. Linear programming -- 5. Integer and Mixed Integer Programming Problems -- 6. Solving optimization problems in GAMS -- 7. Representative optimization problems in chemical engineering solved in GAMS -- Appendix A: Introduction to MATLAB -- Literature and Notes for Further Study -- Index. 330 $aThis text provides the undergraduate chemical engineering student with the necessary tools for problem solving in chemical or bio-engineering processes. In a friendly, simple, and unified framework, the exposition aptly balances theory and practice. It uses minimal mathematical concepts, terms, algorithms, and describes the main aspects of chemical process optimization using MATLAB and GAMS. Numerous examples and case studies are designed for students to understand basic principles of each optimization method and elicit the immediate discovery of practical applications. Problem sets are directly tied to real-world situations most commonly encountered in chemical engineering applications. Chapters are structured with handy learning summaries, terms and concepts, and problem sets, and individually reinforce the basics of particular optimization methods. Additionally, the wide breadth of topics that may be encountered in courses such as Chemical Process Optimization, Chemical Process Engineering, Optimization of Chemical Processes, are covered in this accessible text. The book provides formal introductions to MATLAB, GAMS, and a revisit to pertinent aspects of undergraduate calculus. While created for coursework, this text is also suitable for independent study. A full solutions manual is available to instructors who adopt the text for their course. 410 0$aSpringer Optimization and Its Applications,$x1931-6836 ;$v197 606 $aMathematical optimization 606 $aChemical engineering 606 $aOptimization 606 $aChemical Process Engineering 615 0$aMathematical optimization. 615 0$aChemical engineering. 615 14$aOptimization. 615 24$aChemical Process Engineering. 676 $a660 676 $a660.01518 700 $aKookos$b Ioannis K.$01264024 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910624387903321 996 $aPractical Chemical Process Optimization$92963267 997 $aUNINA