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Viser: Optimization in Engineering - Models and Algorithms
Optimization in Engineering Vital Source e-bog
Ramteen Sioshansi
(2017)
Optimization in Engineering Vital Source e-bog
Ramteen Sioshansi og Antonio J. Conejo
(2017)
Optimization in Engineering Vital Source e-bog
Ramteen Sioshansi og Antonio J. Conejo
(2017)
Optimization in Engineering
Models and Algorithms
Antonio J. Conejo og Ramteen Sioshansi
(2017)
Sprog: Engelsk
Detaljer om varen
- Vital Source searchable e-book (Reflowable pages)
- Udgiver: Springer Nature (Juni 2017)
- ISBN: 9783319567693
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
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Detaljer om varen
- Vital Source 90 day rentals (dynamic pages)
- Udgiver: Springer Nature (Juni 2017)
- Forfattere: Ramteen Sioshansi og Antonio J. Conejo
- ISBN: 9783319567693R90
Bookshelf online: 90 dage fra købsdato.
Bookshelf appen: 90 dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- Vital Source 180 day rentals (dynamic pages)
- Udgiver: Springer Nature (Juni 2017)
- Forfattere: Ramteen Sioshansi og Antonio J. Conejo
- ISBN: 9783319567693R180
Bookshelf online: 180 dage fra købsdato.
Bookshelf appen: 180 dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- Hardback
- Udgiver: Springer International Publishing AG (Juli 2017)
- Forfattere: Antonio J. Conejo og Ramteen Sioshansi
- ISBN: 9783319567679
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.
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.