In this article, we extend our previous study and analyze the dual power allocation problem in an OFDMA system.
We develop an innovative topic model, Hierarchically Dual Latent Dirichlet Allocation (HDLDA), which not only identifies topics in search queries and webpages, but also how the topics in search queries relate to the topics in the corresponding top search results.
We also propose an efficient dual-bank register allocation technique based on regions in the code to reduce spills.
To address this issue, we propose a new PSO variant, namely, the PSO with dual-level task allocation (PSO DLTA).
The main idea consists in the use of a dual-mode control allocation formulation to handle the different operating modes of the wheel according to available actuators, i.e. conventional braking and/or torque transfer.
Several algorithms were proposed to compute a Nash equilibrium solution (Iterative Waterfilling Algorithm (IWFA) [2, 4]; Linear Complementarity Problem (LCP) [3]) or globally optimal power allocations (Dual decomposition method, [8 10]) for the cooperative game.
In the Lagrangian dual decomposition-based resource allocation scheme [14], constraints on cross-tier interference are used in power allocation, but subchannels are assigned randomly to femto users.
Base station selection together with dual bandwidth and power allocation among the two tiers is investigated under shared spectrum usage.
The proposed Lagrange dual method-based power allocation algorithm is shown in Algorithm 2. Through assuming x m,n =1, (mathrm {C}_{n}in Phi _{m,n_{m}}phantom {dot {i}!}), 1≤m≤M, 1≤n,n m ≤N, we can obtain the locally optimal power allocation strategy, denoted as (P_{m,n}^).
It is intended to be an evolving schema, becoming more refined as a greater understanding of attention and resource allocation during dual tasking and multitasking emerges.
During dual tasking, such resource allocation may favor one task, may be equal, or may shift from one task to another at different critical time points during the action.
