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Lagrangian Dual Interior-Point Methods for Semidefinite Programs Export

SIAM J. on Optimization, Vol. 12, No. 4. (2002), pp. 1007-1031.

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This paper proposes a new predictor-corrector interior-point method for a class of semidefinite programs, which numerically traces the central trajectory in a space of Lagrange multipliers. The distinguishing features of the method are full use of the BFGS quasi-Newton method in the corrector procedure and an application of the conjugate gradient method with an effective preconditioning matrix induced from the BFGS quasi-Newton method in the predictor procedure. Some preliminary numerical results are reported.


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