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Developments in computational quantum theory, better numerical methods, as well as parallel and distributed computing, have significantly reduced the computational time (from months to days or hours).
Although recent methods have greatly reduced the computational burden for this approach (Shabalin 2012), the reduced statistical power due to multiple-testing correction still presents significant problems, especially in detecting distal eQTL.
In the application example, these numerical approaches reduced the computational time by a factor of ∼8.
It has reduced the computational complexity and can reach performance comparable to LRT-based optimal fusion rules.
However, advances in MCS methods have reduced the computational effort needed to calculate MCS based matched pairs [25].
In these simulations, when we compare the nonlinear contact force models, the proposed approximate relations reduced the computational time.
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This reduces the computational expenses.
Averaging methods can reduce the computational load.
This significantly reduces the computational effort.
This reduces the computational time significantly.
For example, (ii)reducing the computational cost.
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