be computationally inefficient when

USAGE SUMMARY

The phrase "be computationally inefficient when" is correct and usable in written English.
You can use it when discussing scenarios or conditions under which a process or algorithm may not perform optimally in terms of computational resources. Example: "The algorithm tends to be computationally inefficient when processing large datasets, leading to longer execution times."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

1 human-written examples

However, simulations can be computationally inefficient when the reliability assessment involves finite element analysis and the cost of structural analysis is large.

Probabilistic Engineering Mechanics

Human-verified similar examples from authoritative sources

Similar Expressions

58 human-written examples

However, applying each GSF to entire GP, is computationally inefficient when dealing with large numbers of protein families.

BMC Medical Genomics

The traditional double-loop methods for solving RBDO problems can be computationally inefficient because the inner reliability analysis loop has to be iteratively performed for each probabilistic constraint.

Applied Soft Computing

While the proper approach to fixing this problem would be to use a higher order HMM, this would be computationally inefficient.

Bioinformatics

The SSA method is computationally inefficient for generating samples between two measurements when the total number of possible states is high (as in the case of the biochemical reactions), because the chance of a sampled trajectory matching the end state is typically small and consequently most of the samples will likely be rejected.

BMC Systems Biology

The concern that the web browser is computationally inefficient for advanced numerical procedures has also been amply overcome, as we found when identifying sequence analysis procedures making use of the MapReduce (Dean and Ghemawat, 2008) distributed computing template (Almeida et al., 2012a; Vinga et al., 2012).

Bioinformatics

Besides, example-based approaches are computationally inefficient and may, therefore, be unsuitable for real-time processing.

EURASIP Journal on Image and Video Processing

Unfortunately, the first option is computationally inefficient, and the second one is labor intensive.

Journal of Computational Physics

The Laplacian-of-Gaussian (LoG) filter is an optimal edge detector, but it is computationally inefficient.

Signal Processing

As such, an iterative non-linear minimization is required which is computationally inefficient and sometime does not convergence.

Security Informatics

Initial implementations of basic K R recursive algorithms are computationally inefficient and thus, time-consuming [15, 16].

EURASIP Journal on Wireless Communications and Networking

Expert writing Tips

Best practice

When discussing algorithms or simulations, specify the conditions under which they become computationally inefficient. This provides clarity and context for the reader.

Common error

Avoid stating that something is always computationally inefficient without providing specific conditions. Instead, clearly define the circumstances or data characteristics that lead to inefficiency.

Linguistic Context

The phrase "be computationally inefficient when" functions as a conditional descriptor, indicating a scenario where a process or algorithm's performance is suboptimal regarding computational resources. Ludwig AI suggests that this phrase is used to qualify the inefficiency, providing context to its occurrence.

Expression frequency: Rare

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "be computationally inefficient when" is a grammatically correct and useful expression for specifying the conditions under which a process or algorithm exhibits suboptimal performance regarding computational resources. Ludwig AI confirms its validity and provides real-world examples, primarily from scientific contexts. The phrase is relatively rare but serves an important function in technical writing by providing precision and clarity. When using this phrase, it's crucial to clearly define the conditions that lead to inefficiency to provide valuable context to the reader.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

become computationally expensive under specific circumstances

Replaces "inefficient" with "expensive" and uses "under specific circumstances" for condition.

be computationally wasteful in certain situations

Substitutes "inefficient" with "wasteful" and "when" with "in certain situations".

show computational limitations under particular conditions

Uses "show computational limitations" instead of "be computationally inefficient".

lack computational effectiveness when faced with

Replaces "be computationally inefficient" with "lack computational effectiveness".

prove to be computationally suboptimal under conditions

Uses "suboptimal" as a replacement for "inefficient" to highlight performance degradation.

exhibit poor computational performance when subjected to

Focuses on "poor computational performance" under specific stressors.

suffer from computational overhead under circumstances

Highlights the "computational overhead" that contributes to inefficiency.

demonstrate reduced computational efficiency when presented with

Emphasizes the "reduced computational efficiency" when dealing with a case.

become impractical from a computational standpoint when

Shifts focus to the impracticality of computation due to inefficiency.

result in increased computational demands when

Highlights that the computational costs raises when something happens.

FAQs

How can I rephrase "be computationally inefficient when"?

Alternatives include "become computationally expensive under specific circumstances", "show computational limitations under particular conditions", or "lack computational effectiveness when faced with". Consider the context to choose the most appropriate phrasing.

What does it mean for a process to "be computationally inefficient when"?

It means that the process requires a disproportionately large amount of computational resources (time, memory, processing power) relative to the result achieved under specific conditions. For example, an algorithm may "be computationally inefficient when" handling large datasets.

Is it always bad if a method "be computationally inefficient when" certain conditions are met?

Not necessarily. It depends on the trade-offs. A method that "be computationally inefficient when" handling edge cases might still be valuable if it's highly efficient in common scenarios. The key is understanding the limitations and choosing the right tool for the job.

What are some strategies to deal with situations that "be computationally inefficient when"?

Possible strategies include optimizing the algorithm, using approximation techniques, parallelizing the computation, or switching to a different algorithm that is more suitable for the specific conditions. Always assess the trade-offs between accuracy and computational cost.