becomes computationally prohibitive when

USAGE SUMMARY

The phrase "becomes computationally prohibitive when" is correct and usable in written English.
It can be used in contexts discussing the limitations or challenges of computational tasks or algorithms. Example: "The complexity of the algorithm becomes computationally prohibitive when the dataset exceeds a certain size."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

1 human-written examples

The full MLSE equalizer becomes computationally prohibitive when the modulation order is high and/or when the channel length is long.

Journal of the European Optical Society-Rapid Publications

Human-verified similar examples from authoritative sources

Similar Expressions

58 human-written examples

Hence, such a one-shot method could easily become computationally prohibitive when the time span is long or time step is small.

Computers & Mathematics with Applications

The simplest approach, which consists in solving the system of equations obtained from a finite element discretization for each frequency, becomes computationally prohibitive for fine increments, particularly when dealing with large systems, like those encountered when addressing mid-frequency problems.

Journal of Sound and Vibration

However, when the number of channels is large, POHPA becomes computationally prohibitive.

EURASIP Journal on Wireless Communications and Networking

However, it becomes computationally prohibitive to simulate multidimensional processes.

Journal of Wind Engineering and Industrial Aerodynamics

Using uniform grids for such problems becomes computationally prohibitive as the solution approaches singularity.

Journal of Computational Physics

However, the exhaustive search scheme becomes computationally prohibitive especially for pilot sets with a large number of subcarriers.

EURASIP Journal on Wireless Communications and Networking

Given the size of the data set and the feature space, a search function is mandatory, as exhaustive search becomes computationally prohibitive.

EURASIP Journal on Audio, Speech, and Music Processing

This means that the knapsack optimizer must evaluate all configurations for all applications across all workloads, which rapidly becomes computationally prohibitive as the number of applications and potential workloads increases.

EURASIP Journal on Wireless Communications and Networking

The implementation of Monte Carlo simulations (MCSs) for the propagation of uncertainty in real-world seawater intrusion (SWI) numerical models often becomes computationally prohibitive due to the large number of deterministic solves needed to achieve an acceptable level of accuracy.

Advances in Water Resources

While feasible for small numbers of raters, this procedure quickly becomes computationally prohibitive as the number of raters increases - for example, the exceedingly sparse single contingency table representing the breast cancer tumour data would have dimension 3732.

Plosone

Expert writing Tips

Best practice

When using the phrase "becomes computationally prohibitive when", ensure that you clearly define the specific conditions or factors that lead to the computational limitations. This provides context and strengthens the argument.

Common error

Avoid using the phrase "becomes computationally prohibitive when" without specifying what causes the computation to become prohibitive. For example, avoid saying "it becomes computationally prohibitive when used extensively" and instead specify "it becomes computationally prohibitive when the dataset size exceeds 1 TB".

Linguistic Context

The phrase "becomes computationally prohibitive when" functions as a relative clause introducing conditions under which a process or calculation is no longer feasible due to high computational cost. Ludwig AI indicates that the phrase is correct and suitable for formal writing.

Expression frequency: Common

Frequent in

Science

95%

Formal & Business

3%

News & Media

1%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

The phrase "becomes computationally prohibitive when" is a grammatically correct and commonly used expression, particularly in scientific and technical contexts. It indicates a point at which a computational task becomes infeasible due to excessive resource demands. Ludwig AI confirms its validity. When using this phrase, it's crucial to specify the exact conditions leading to the computational constraints. Alternatives include "is computationally infeasible when" or "exceeds computational limits when". The primary context is scientific, reflecting its common usage in research and technical documentation.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

is computationally infeasible when

Emphasizes the impracticality of the computation due to resource constraints.

is computationally impractical when

Highlights the impracticality of performing the computation within reasonable limits.

is computationally too expensive when

Focuses on the high resource cost associated with the computation.

is not feasible to compute when

Directly states that the computation cannot be realistically performed.

is impossible to compute when

Strongly asserts the impossibility of completing the computation.

exceeds computational limits when

Indicates that the computation surpasses the available computational resources.

becomes too complex to compute when

Highlights the increased complexity as the reason for computational limitations.

reaches computational limits when

Indicates that the computation is bumping against the boundaries of what is possible.

is computationally unsustainable when

Suggests the resources required will eventually become unsustainable.

is effectively uncomputable when

Suggests that though computable in theory, this is not the case in practice.

FAQs

What does it mean for something to "become computationally prohibitive when"?

It means that a calculation or process is no longer feasible or practical to perform due to excessive time, resources, or complexity under certain conditions. In such cases, approximate methods or alternative strategies might be necessary.

When is it appropriate to use the phrase "becomes computationally prohibitive when"?

Use this phrase when discussing algorithms, simulations, or models whose resource requirements (time, memory, processing power) increase dramatically under specific conditions, rendering them impractical for real-world applications. For example, maximum likelihood (ML) decoding obtains the best performance, although its complexity "becomes prohibitive when" the constellation size increases.

What are some alternatives to "becomes computationally prohibitive when"?

Alternatives include phrases such as "is computationally infeasible when", "is no longer practical when", "is too resource-intensive when", or "exceeds computational limits when". These alternatives can provide a similar meaning with slightly different emphasis. For example, a search function is mandatory, as exhaustive search "becomes computationally prohibitive".

How can I avoid computational prohibitiveness?

Strategies to avoid computational prohibitiveness include using more efficient algorithms, reducing the size of the dataset, employing parallel computing, or approximating the solution instead of finding an exact one. In these cases, alternative methods for RF cancellation might have to be considered if the complexity "becomes prohibitive when" the number of antennas is significantly increased.