Optimization in Engineering Models and Algorithms /
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 emp...
Κύριοι συγγραφείς: | , |
---|---|
Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
|
Σειρά: | Springer Optimization and Its Applications,
120 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.