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The proposed algorithm is established on event-based lexicographic optimization method and dynamic constraint programming.
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Furthermore, strong convergence of the proposed algorithm is established.
The global convergence of the proposed algorithm is established under some usual conditions.
Stability of the closed-loop system with the proposed algorithm is established.
Global convergence of the proposed algorithm is established under two mild assumptions.
The global and local quadratic convergence of the proposed algorithm are established under some suitable assumptions.
The algorithm is established on a JTMS-based dependency network.
The proposed algorithm is based on the well-known one-pass k-means clustering algorithm (McQueen, 1967).
The proposed algorithm is based on ADMM[21].
The proposed algorithm is based on the approximate computing paradigm.
The proposed algorithm is performed on HEVC reference software HM16.12.
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