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Scaling Inference for Markov Logic via Dual Decomposition (Short).
Decentralized convex optimization via primal and dual decomposition.
Based on relaxing, discretization and dual decomposition, an optimal offline algorithm is firstly obtained.
To solve the convex optimization problem, the subgradient projection method based on dual decomposition is employed.
We solve the problem by sample average approximation in combination with dual decomposition.
A dual decomposition technique is applied in order to reduce the computational complexity of the system.
The first solution is designed based on the Lagrangian dual decomposition.
After that, we solve it using dual decomposition and subgradient method.
Then final configuration constraints are tackled by primal decomposition, while collision avoidance constraints by dual decomposition.
Dual decomposition method.
Dual decomposition was employed for minimization.
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