TY  - BOOK
AU  - Sioshansi,Ramteen
AU  - Conejo,Antonio J.
ED  - SpringerLink (Online service)
TI  - Optimization in Engineering: Models and Algorithms 
T2  - Springer Optimization and Its Applications,
SN  - 9783319567693
AV  - QA402.5-402.6 
U1  - 519.6 23
PY  - 2017///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Mathematical optimization
KW  - Industrial engineering
KW  - Production engineering
KW  - Optimization
KW  - Industrial and Production Engineering
N1  - 1. 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; Available to subscribing member institutions only. Доступно лише організаціям членам підписки
N2  - 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
UR  - https://doi.org/10.1007/978-3-319-56769-3
ER  -