Annals of Operations Research
Optimization by Vector Space Methods
Optimization by Vector Space Methods
An Adaptive Dual Parametrization Algorithm for Quadratic Semi-infinite Programming Problems
Journal of Global Optimization
Numerical method for a class of optimal control problems subject to nonsmooth functional constraints
Journal of Computational and Applied Mathematics
A review of recent advances in global optimization
Journal of Global Optimization
A dual parametrization approach to Nyquist filter design
Signal Processing
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The so called dual parameterization method for quadratic semi-infinite programming (SIP) problems is developed recently. A dual parameterization algorithm is also proposed for numerical solution of such problems. In this paper, we present and improved adaptive algorithm for quadratic SIP problems with positive definite objective and multiple linear infinite constraints. In each iteration of the new algorithm, only a quadratic programming problem with a limited dimension and a limited number of constraints is required to be solved. Furthermore, convergence result is given. The efficiency of the new algorithm is shown by solving a number of numerical examples.