Abstract
This chapter provides an overview of constrained optimization methods. Background, theory, and examples are provided. Coverage includes Lagrange multipliers for equality constrained optimization with a Cobb-Douglass example from Information Science. We also provide Karush-Kuhn-Tucker for inequality constrained optimization and a production example for smart phones with inequalities. An overview and discussion of numerical methods and techniques is also provided. We also provide a brief list of technology available to assist in solving these constrained nonlinear optimization problems.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
