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...
Main Authors: | Sioshansi, Ramteen (Author), Conejo, Antonio J. (Author) |
---|---|
Corporate Author: | SpringerLink (Online service) |
Format: | Electronic eBook |
Language: | English |
Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
|
Series: | Springer Optimization and Its Applications,
120 |
Subjects: | |
Online Access: | Full Text via HEAL-Link |
Similar Items
-
Feasibility and Infeasibility in Optimization Algorithms and Computational Methods /
by: Chinneck, John W.
Published: (2008) -
Optimization and Logistics Challenges in the Enterprise
Published: (2009) -
Linear Programming 2: Theory and Extensions /
by: Dantzig, George B., et al.
Published: (2003) -
Group Testing Theory in Network Security An Advanced Solution /
by: Thai, My T.
Published: (2012) -
Advanced Numerical Methods to Optimize Cutting Operations of Five-Axis Milling Machines
by: Makhanov, Stanislav S., et al.
Published: (2007)