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Optimization in Engineering: Models and Algorithms (Springer Optimization and Its Applications (120)) by Ramteen Sioshansi, Antonio J. Conejo is a nonfiction available to read on EtoBox.
What is Optimization in Engineering: Models and Algorithms (Springer Optimization and Its Applications (120)) about?
"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." -- Publisher's description
Who reads Optimization in Engineering: Models and Algorithms (Springer Optimization and Its Applications (120))?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Ramteen Sioshansi, Antonio J. Conejo
- Publisher
- Springer International Publishing Imprint : Springer
- Published
- 2018
- Language
- EN
- ISBN
- 9783319859965
- Category
- nonfiction
- Subjects
- Mathematics, Engineering, Engineering General & Miscellaneous
Other editions & translations
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