However, except BWs, all the other methods are based on geodesic distance computation, which is computational expensive.
The masonry mesoscale strategy is then combined with a domain partitioning approach allowing for parallel computation which guarantees computational efficiency.
Quantum computers are thus capable of performing any computation which a classical deterministic computer can do.
In this paper we propose a metatheory, MT, which represents the computation which implements its object theory, OT, and, in particular, the computation which implements deduction in OT.
Computation, which requires devices such as transistors to switch based on different inputs, would be a big step.
We discuss several models of computation which have arisen from various biological studies.
The short-range force computation, which dominates the execution time, is the primary focus.
We propose a design scheme, based on the notion of continuous computation, which addresses these issues.
ANN is a special case of neural computation, which is inspired by the human brain.
No windowing is performed for jitter and shimmer computation, which is performed in the time domain.
end{aligned}Then, we underline an interesting computation, which can be proven as an exercise.
