General Quadratic Programming and Its Applications in Response Surface Analysis

  • Rentsen EnkhbatEmail author
  • Yadam Bazarsad
Part of the Springer Optimization and Its Applications book series (SOIA, volume 39)


In this chapter, we consider the response surface problems that are formulated as the general quadratic programming. The general quadratic programming is split into convex quadratic maximization, convex quadratic minimization, and indefinite quadratic programming. Based on optimality conditions, we propose finite algorithms for solving those problems. As application, some real practical problems arising in the response surface, one of the main part of design of experiment, have been solved numerically by the algorithms.


concave programming quadratic programming global optimization response surface problems 


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Authors and Affiliations

  1. 1.Department of Mathematics, School of Economics StudiesNational University of MongoliaUlaanbaatarMongolia
  2. 2.Department of Econometrics, School of Computer Science and ManagementMongolian University of Science and TechnologyUlaanbaatarMongolia

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