Examples of 'high computational' in a sentence
Meaning of "high computational"
high computational: This phrase is commonly used to describe processes, systems, or tasks that require a significant amount of computing power, resources, or capabilities
How to use "high computational" in a sentence
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Advanced
high computational
That takes very high computational power.
It is observed that heavy ion radiotherapy planning demands a high computational cost.
A particularly high computational efficiency is achieved due to a number of table accesses being kept small.
Both processing steps introduce a high computational load.
Bilateral filtering has high computational complexity and fast algorithms give only approximate results.
This large number of steps entails a high computational cost.
Thus, the high computational effort for the inverse FFT is replaced by a simple summing operation.
This approach suffers from disadvantage of a high computational complexity.
This provides high computational efficiency without limiting the problem to 1D or 2D geometries.
But this is achieved at the cost of high computational expense.
Thus, unnecessarily high computational complexity is avoided.
This model is very detailed but has a high computational cost.
This results in large table sizes with high computational complexity and high signaling costs.
It is applied for example in the field of embedded systems with high computational power.
Secondly, we observed the high computational need of these centrality metrics.
See also
Modelling all melt tracks also imposes an unacceptably high computational load.
However, this scheme has a high computational complexity.
The invention relates more particularly to the field of embedded systems offering high computational power.
However, such solution has a relatively high computational cost for numerical resolution.
Such simulations may be a costly process because they usually require high computational time.
EV also has high resolution and high computational complexity.
Long codes provide great synchronization accuracy but imply rather high computational burden.
Such a model may be simulated directly, at the high computational cost of a very fine discretisation.
The accuracy of the reconstructions, albeit at the cost of a relatively high computational.
However, the application of this technique requires high computational effort to obtain the regulation parameters.
However, the analysis of spectral characteristics of these structures requires technique with high computational complexity.
Such intuitions can now be objectively interpreted by a high computational technology as well ( figure 3b ).
In addition, such post processing methods are disadvantageous, as they require relatively high computational complexity.
This means that there is a very high computational cost.
However, processes with a large number of parameters and / or variables may require a high computational cost.
This has the obvious disadvantage of extremely high computational complexity.
However, implementing genetic programming is not trivial for most professionals, besides demanding high computational power.
However, this benefit comes at the cost of high computational complexity.
However solving exactly the proposed model mayrequire a high computational time.
The proposed approach yields precise results but with a high computational load.
The main drawback of such optimal solutions lies in their high computational load.
Processing of a large number of audio objects comes at the cost of high computational complexity.
Unfortunately, semidefinite programming solvers have a high computational cost.
Unfortunately, this added realism comes at a high computational cost.
The alignment of these atlaswith the image, leads to a high computational cost.
However, path tracing in real time is complicated due to its high computational demand.
However, such systems usually require specific equipments with high price and / or high computational cost.
According to co-designer Jonty Barnes, the team wanted the creatures complex without high computational costs.
However, MI 's estimators suffer from variance, bias and lead to high computational complexity.
LES in any practical application, even at a low-Reynolds number, requires high computational resources.
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