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Quadratic Programming

In: Continuous Nonlinear Optimization for Engineering Applications in GAMS Technology

Author

Listed:
  • Neculai Andrei

    (Center for Advanced Modeling & Optimization
    Academy of Romanian Scientists)

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.

Suggested Citation

  • Neculai Andrei, 2017. "Quadratic Programming," Springer Optimization and Its Applications, in: Continuous Nonlinear Optimization for Engineering Applications in GAMS Technology, chapter 0, pages 243-268, Springer.
    • Handle: RePEc:spr:spochp:978-3-319-58356-3_10
    DOI: 10.1007/978-3-319-58356-3_10
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