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• 020 __ |a 9783031112980

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• 020 __ |a 9783031113000 (print)

• 024 7_ |a 10.1007/978-3-031-11298-0 |2 doi

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• 100 1_ |a Kookos, Ioannis K.

• 245 10 |a Practical Chemical Process Optimization : |b With MATLAB and GAMS / |c by Ioannis K. Kookos.

• 250 __ |a 1st ed. 2022.

• 260 __ |a Cham : |b Springer, |c 2022.

• 300 __ |a xi, 439 pages : |b illustrations ; |c 24 cm

• 336 __ |a text |b txt |2 rdacontent

• 337 __ |a unmediated |b n |2 rdamedia

• 338 __ |a volume |b nc |2 rdacarrier

• 347 __ |a text file |b PDF |2 rda

• 490 1_ |a Springer Optimization and Its Applications, |x 1931-6836 ; |v 197

• 505 0_ |a 1. 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.

• 520 __ |a This 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.

• 650 _0 |a Mathematical optimization.

• 650 _0 |a Chemical engineering.

• 710 2_ |a SpringerLink (Online service)

• 830 _0 |a Springer Optimization and Its Applications, |x 1931-6836 ; |v 197