TY - BOOK ID - 15993396 TI - Optimization in Engineering : Models and Algorithms AU - Sioshansi, Ramteen. AU - Conejo, Antonio J. PY - 2017 SN - 3319567691 3319567675 PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - Mathematics. KW - Mathematical optimization. KW - Industrial engineering. KW - Production engineering. KW - Optimization. KW - Industrial and Production Engineering. KW - Management engineering KW - Simplification in industry KW - Engineering KW - Value analysis (Cost control) KW - Optimization (Mathematics) KW - Optimization techniques KW - Optimization theory KW - Systems optimization KW - Mathematical analysis KW - Maxima and minima KW - Operations research KW - Simulation methods KW - System analysis KW - Engineering mathematics. KW - Manufacturing engineering KW - Process engineering KW - Industrial engineering KW - Mechanical engineering KW - Engineering analysis KW - Mathematics UR - https://www.unicat.be/uniCat?func=search&query=sysid:15993396 AB - This 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. ER -