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Parallel computing divides large computation problems into smaller ones, which are then solved concurrently.
However, there exist graph computation problems that are not parallel scalable.
As a consequence, some graph computation problems are "inherently sequential" [94].
It analyses borrow pit computation problems related to soil phases and provides an introduction to seismology.
Design sensitivity analysis is mainly applicable to optimization and force computation problems.
Graph computation problems that exhibit irregular memory access patterns are known to show poor performance on multiprocessor architectures.
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Dechter conjectured this computation problem to be NP-hard.
The goal of a mental computation problem is to arrive at an answer, and consequently, mental calculations are required.
In this paper, we apply the principles of high-order consensus to the distributed computation problem in wireless sensor networks.
We cast this process as a secure multiparty computation problem and develop a novel protocol based on homomorphic encryption.
Then considering the specialties of network distance computation problem, an efficient way supported by flow extension simulation is proposed.
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