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Solving a Class of Linearly Constrained Indefinite Quadratic Problems by D.C. Algorithms
Authors:LE THI HOAI AN  PHAM DINH TAO
Institution:(1) Mathematical Modelling and Applied Optimization Group, LMI, INSA Rouen, CNRS, URA 1378 BP 8, F 76 131 Mont Saint Aignan Cedex, France
Abstract:Linearly constrained indefinite quadratic problems play an important role in global optimization. In this paper we study d.c. theory and its local approachto such problems. The new algorithm, CDA, efficiently produces local optima and sometimes produces global optima. We also propose a decomposition branch andbound method for globally solving these problems. Finally many numericalsimulations are reported.
Keywords:Linearly constrained quadratic problems  d  c  optimization  d  c  optimization algorithm (DCA)  local optimality  global optimality  decomposition branch and bound method  global algorithm
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