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An distributed algorithm based on dual decomposition method can overcome this difficulty.
It is solved via an iterative algorithm based on dual decomposition theory.
Based on dual decomposition, a distributed algorithm was proposed for power and subcarrier allocation.
To solve the convex optimization problem, the subgradient projection method based on dual decomposition is employed.
Assuming a single power constraint for the whole system, a distributed resource allocation framework was proposed based on dual decomposition.
The centralized algorithm based on dual decomposition for OSB, proposed in [3], decouples joint optimization across all tones to make the problem solvable per-tone basis.
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Secondly, the mathematic model of Helmert transformation based on dual quaternion is established, and then a new dual quaternion algorithm of Helmert transformation is presented by Lagrangian extremum law and eigenvalue eigenvector decomposition.
This converter topology is based on dual stage integration.
Then, based on the dual decomposition method, this problem is decomposed into many subproblems, which can be solved independently in a parallel fashion at each source/link, and builds the Dual Decomposition based Optimal and Fair Congestion Control framework (D2OFC2) to coordinate their source allocation among flows.
This paper presents an algorithm based on a dual decomposition to optimally solve this problem.
The distributed algorithm is developed based on the dual decomposition approach in convex optimization (see, e.g., [16, 17] and references therein).
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based on dual cooling
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based on dual mode
based on dual modality
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