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Exact(10)
We decouple the problem into the cascade of subchannel assignment and (subsequent) power allocation.
To reduce the computational complexity, we decouple the problem into two steps.
This motivates us to dualize both constraints and decouple the problem as explained in the sequel.
The basic idea of the proposed strategy is to decouple the problem in time and solve it for each time instant independently as will be shown later.
A standard approach is to decouple the problem of logical topology design and the problem of routing the traffic on this logical topology.
Such architecture allows to decouple the problem of dynamic stable walking in the two relatively simpler problems of gait generation and robot stabilization.
Similar(50)
To further reduce the computational complexity, a suboptimal algorithm is proposed in closed form by decoupling the problem into subproblems under asymptotical analysis.
The derivation of the JML estimator, using the periodic-tap channel estimation model described in (9), results in a low-complexity implementation by decoupling the problem of joint time-delay and channel estimation.
Our motivation to use the dual formulation is the possibility to decouple the optimization problem into an inner maximization problem over the primal variables and an outer minimization over the dual parameters which will be called outer loop further on.
We decouple the equivalent problem by solving a (convex) network and a (convex) power assignment problem separately.
The main idea of the RPCD-Algorithm is to decouple the SRPC problem into two convex subproblems and to find the optimum solution of the SRPC problem by iteratively toggling between the two subproblems (Figure 1). Figure 1 RPCD Algorithm.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com