Quadratic Programming

Neculai Andrei
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Neculai Andrei: Center for Advanced Modeling & Optimization

Chapter Chapter 10 in Continuous Nonlinear Optimization for Engineering Applications in GAMS Technology, 2017, pp 243-268 from Springer

Abstract: Abstract One of the most important nonlinear optimization problems is quadratic programming, in which a quadratic objective function is minimized with respect to linear equality and inequality constraints. These kinds of problems are present in many methods as sub-problems and in real applications from different areas of activity as mathematical models of these applications. At the very beginning, we consider the equality-constrained quadratic programming, after which the inequality-constrained programming will be presented.

Date: 2017
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DOI: 10.1007/978-3-319-58356-3_10

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