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A hybrid approach Monte Carlo Simulation/first order reliability analysis module (MCS/FORM) is developed to compute small probability of failure with a great computational efficiency and numerical accuracy.
BiForce achieves great computational efficiency by integrating three major advances in computing (i.e. bitwise data structures, Boolean bitwise operations and multithreaded parallelization) with fast calculation of pair-wise interactions.
He also devised interpolation procedures of great computational efficiency to obtain intermediate values.
However, a larger g may bring great computational complexity.
The alpha-beta algorithm implements this with great computational efficiency.
Great computational load is avoided by the integration, but the SNR of signal is not decreased.
The need for scanning analysis with different faults will impose great computational burden of simulations.
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This implementation by Adleman spawned the idea of building nucleic acid (DNA) computers as an alternate computing means that possess greater computational power than the conventional machines.
Clockless computing, according to its proponents, would offer greater computational speed and lower power consumption, as well as making it possible to design new chips more quickly.
In the highest resolution run of Δ0.87, we achieved the greatest computational performance for weak scaling on the K computer.
However, a larger number of semantic features will lead to greater computational complexity for hidden semantic feature extraction and time requirements for computing similarity for image retrieval.
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