书目名称 | Optimization in Engineering |
副标题 | Models and Algorithm |
编辑 | Ramteen Sioshansi,Antonio J. Conejo |
视频video | |
概述 | Offers a problem-solving approach and a large number of illustrative examples leading to a step-by-step formulation and solving of optimization problems.Discussions are based on real-world examples an |
丛书名称 | Springer Optimization and Its Applications |
图书封面 |  |
描述 | .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.. |
出版日期 | Textbook 2017 |
关键词 | linear programming; modeling GAMS; optimization energy; optimization engineering; optimization undergrad |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-319-56769-3 |
isbn_softcover | 978-3-319-85996-5 |
isbn_ebook | 978-3-319-56769-3Series ISSN 1931-6828 Series E-ISSN 1931-6836 |
issn_series | 1931-6828 |
copyright | Springer International Publishing AG 2017 |