000			01867 a2200277 4500
003			OSt
005			20220124161755.0
008			220121b xxu||||| |||| 00| 0 eng d
020			_a9783319567679
040			_cIIT Kanpur
041			_aeng
082			_a519.6 _bSi72o
100			_aSioshansi, Ramteen
245			_aOptimization in engineering _bmodels and algorithms _cRamteen Sioshansi and Antonio J. Conejo
260			_bSpringer _c2017 _aSwitzerland
300			_axv, 412p
440			_aSpringer optimization and its applications
490			_a / edited by Panos M. Pardalos ; v.120
520			_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.
650			_aMathematical optimization
650			_aEngineering mathematics
650			_aMathematics
650			_aIndustrial engineering
700			_aConejo, Antonio J.
942			_cBK
999			_c565193 _d565193