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We consider the iterative scheme computing by the hybrid method (some authors call the CQ-method).
In this section, we consider the modified Ishikawa iterative scheme computing by the CQ hybrid method [13 15].
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The Greedy scheme computes the solution to the static model in every time slot.
Table 2 shows the time and energy required for transfering each of the pages of the "Pong" image under either scheme, computed from the above traces.
However, our proposed AdOr scheme computes a separate diverse subset, using a traditional content-based definition of diversity that represents each query result set.
This is because, the proposed scheme computes the coding ratio adaptively and hence the average number of transmissions required per data block is significantly lower.
The joint multimedia-FEC rate allocation scheme computes the optimal source and FEC rate for scalable video over multi-path networks based on the utility algorithm.
Numerical experiments are conducted and the results show that the penalty scheme computes numerical solutions with better accuracy, compared to the traditional approach with boundary conditions enforced strongly.
The (poly) M-scale subdivision scheme computes the next level of refinement from the M−1 scales of the previous level, using M−1 given masks, Pm={pm,k}k∈Zd, m=1,…,M−1.
Unlike the original ADER schemes, the proposed numerical scheme computes the RPs of the high order terms of the DRP departing from time derivatives of the fluxes as initial conditions for these RPs.
The proposed scheme computes the GR of each node based on GlobalTrust that uses a trusted quorum D. GlobalTrust uses the agglomerative hierarchical clustering technique to find a minimum dominating cluster [2].
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