1995
DOI: 10.1007/bf01099462
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A relaxation method for nonconvex quadratically constrained quadratic programs

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Cited by 91 publications
(28 citation statements)
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“…This is done by solving the optimization 3 up to second order-a standard linear constraint quadratic programming problem. Numerical techniques 17 exist that can nd global maximums of a z i z Sz subject to \ z \ . Current software…”
Section: Synthesismentioning
confidence: 99%
See 1 more Smart Citation
“…This is done by solving the optimization 3 up to second order-a standard linear constraint quadratic programming problem. Numerical techniques 17 exist that can nd global maximums of a z i z Sz subject to \ z \ . Current software…”
Section: Synthesismentioning
confidence: 99%
“…Consequently, the optimization becomes a linear constaint quadratic program. Using branch and bound software developed by Faiz et al 17 it is possible to nd global optimums for fairly large problems (up to about 30 blades). More realistic constraints motivated by side effects in general and mode localization in particular shall be addressed in future research.…”
mentioning
confidence: 99%
“…We can nd global optima for this problem by using a branch and bound method. 11 In both cases A and B, the optimal solution is in the ' rst' mode z ¤ D .²; ²; : : : ; ²; ¡²; ¡²; : : : ; ¡²/. The advantageof our optimization problem phrased above is that it is globally tractable and it improves both utter boundaries and forced response.…”
Section: Intentional Robust Optimal Mistuningmentioning
confidence: 99%
“…Tseng [8] further studied approximation bounds of the SDP relaxation for the NQP. When constraint functions include nonconvex quadratic constraint, based on outer approximation method and linear programming relaxation a branch-and-bound method for solving the NQP was proposed in [9]; based on linear programming relaxation technique, two simplicial branch-and-bound algorithms were presented for solving the NQP in Refs. [10,11], respectively.…”
Section: Introductionmentioning
confidence: 99%