Besides, the depth-first decision process for TU size selection in HM was replaced by a merge-and-split decision process, which also reduces unnecessary computation by using the inheritance property of zero-blocks and early termination schemes for non-zero blocks.
Most of existing methods save memory usage during the computation by using sophisticated algorithms and advanced data structures [bloom filter (Melsted and Pritchard, 2011), lock-free memory-efficient hash table (Marcais and Kingsford, 2011), suffix array (Kurtz et al., 2008)] or relying on disk space to compensate memory space (Rizk et al., 2013).
Straightforward computation by using the recursive formulae shown in Theorem 2.4 and computer algebraic system Mathematica gives the following result.
Not surprisingly, a quantum computer can also simulate this type of computation by using another famous quantum gate, namely the Hadamard gate, which receives as an input the state \(\lvert 0\rangle\) and produces the state \ \bfrac{\lvert 0\rangle + \lvert 1\rangle}{\sqrt{2}}\).
In 2008, Benjamin and Atallah [11] proposed verifiably outsourced computation protocol for expensive linear algebraic computation by using a homomorphic semantically secure encryption system.
However, for k>l as shown in Fig. 4b d, TSA can find α k with reduced computation by using all the αl,L's, while it is required to compute all the αk,K's in ESM.
We avoid this computation by using quadrature to generate a convex polytope which approximates this set.
Here we extend the capability of the method to rare probability computation by using the idea of importance sampling (IS).
LIPS is a distributed message passing language that promotes the separation of communication from computation by using the concept of guarded processes.
Now we turn to map the literature on human computation by using our theoretical framework.
