Hong-Wei Jiao

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A convergent algorithm is proposed for solving a class of optimization problems (P1), which can be broadly applied to engineering designs and stability analysis of nonlinear systems. By utilizing logarithmic characteristic and linearization technique, linear relaxation programming (LRP) about problem (P1) is established, through the successive refinement of(More)
A novel linearizing alternating direction augmented Lagrangian approach is proposed for effectively solving semidefinite programs (SDP). For every iteration, by fixing the other variables, the proposed approach alternatively optimizes the dual variables and the dual slack variables; then the primal variables, that is, Lagrangemultipliers, are updated. In(More)
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