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Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Constrained Nonlinear Optimization in Information Science

Constrained Nonlinear Optimization in Information Science
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Author(s): William P. Fox (Naval Postgraduate School, USA)
Copyright: 2018
Pages: 13
Source title: Encyclopedia of Information Science and Technology, Fourth Edition
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-5225-2255-3.ch399


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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.

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