be computationally prohibitive when

USAGE SUMMARY

The phrase 'be computationally prohibitive when' is correct and usable in written English.
You can use this phrase when you want to describe a situation in which a certain process or task would be too difficult or complex to complete using a computer. For example, "The forecasting of weather patterns in the Pacific Ocean can be computationally prohibitive when trying to account for the thousands of variables involved."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

5 human-written examples

This, however, is shown to be computationally prohibitive when a network becomes large.

Pervasive and Mobile Computing

However, this scales quadratically with respect to the number of points and it could be computationally prohibitive when large sets of points are considered.

EPJ Data Science

Sampling-based reliability estimation with expensive computer models may be computationally prohibitive when the probability of failure is low (or high reliability).

Structural Safety

However, the MRFs can be computationally prohibitive when beta strands are interleaved in complex topologies.

Bioinformatics

Unfortunately, calculation of the above integrals requires Monte Carlo simulation, which can be computationally prohibitive when the amount of data or the number of candidate models is large.

Environmental Health Perspectives

Human-verified similar examples from authoritative sources

Similar Expressions

55 human-written examples

However, the optimal scheduling strategy (exhaustive user selection) is computationally prohibitive when the total number of users is large.

EURASIP Journal on Wireless Communications and Networking

Thus for some cheminformatics practitioners even the Naive Bayesian algorithm in its standard form is computationally prohibitive when the dataset is large.

Journal of Cheminformatics

Especially, the optimal (exhaustive) user selection scheme is computationally prohibitive when the total number of users is large in a given system (cell).

EURASIP Journal on Wireless Communications and Networking

Complex processes are naturally suitable to be controlled in a decentralized framework: centralized control solutions are often unfeasible in dealing with large scale plants and they are computationally prohibitive when the processes are too fast for the existing computational resources.

Journal of Process Control

The best-subset selection is computationally prohibitive when the number of variables is large.

BMC Systems Biology

However, Monte Carlo simulation generally requires to generate a very large number of samples, which is computationally prohibitive when small failure probabilities (e.g. 10−6) have to be estimated.

Computer Methods in Applied Mechanics and Engineering

Expert writing Tips

Best practice

When using the phrase "be computationally prohibitive when", clearly specify the conditions or factors that lead to the computational limitations. This provides context and helps the reader understand the scope of the problem.

Common error

Avoid using "be computationally prohibitive when" without providing specific details about the computational task or the conditions that make it prohibitive. Vague statements can weaken the impact of your argument. For example, instead of saying "This method is computationally prohibitive when dealing with large datasets", specify the size threshold or the type of data that causes the issue.

Linguistic Context

The phrase "be computationally prohibitive when" functions as a qualifier, indicating a condition under which a certain computation becomes impractical or impossible. As highlighted by Ludwig, this implies that resources, time, or complexity surpass acceptable limits. This usage is frequently observed in scientific literature.

Expression frequency: Rare

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Ludwig's WRAP-UP

In summary, the phrase "be computationally prohibitive when" is a grammatically correct construction used to denote circumstances under which a computational task becomes impractical due to limitations in resources, time, or complexity. As per Ludwig AI, its register is formal and scientific, and it is most commonly found in scientific literature. This phrase serves to express limitations and justify alternative approaches. When using this phrase, it is important to clearly specify the conditions that lead to computational limitations. Common errors include overgeneralization and failing to provide specific details about the computational task. Alternative phrases include "become infeasible to compute when" and "be too resource-intensive when".

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

become infeasible to compute when

Replaces "prohibitive" with "infeasible", emphasizing the impracticality of the computation.

be computationally intractable when

Replaces "prohibitive" with "intractable", suggesting the problem is impossible to solve within reasonable time/resources.

be impractical to calculate when

Uses "impractical" to convey the difficulty in performing the calculation.

become computationally unrealistic when

Emphasizes that calculations move beyond practical real-world application when certain conditions are met.

not be viable computationally when

Focuses on the lack of viability in computational terms.

be too resource-intensive when

Focuses on the high resource demand as the limiting factor.

be too complex to compute when

Uses the word "complex" to convey the difficulty in performing the calculation.

exceed computational limits when

Highlights the exceeding of available computational resources.

require excessive computing power when

Specifically mentions the demand for significant computing power.

reach the limits of computation when

Highlights that the maximum limit of computation can be reached under some conditions.

FAQs

How can I rephrase the sentence "This calculation can be computationally prohibitive when dealing with large datasets"?

You could say "This calculation becomes "infeasible to compute when" handling extensive datasets" or "This calculation is "too resource-intensive when" applied to large datasets".

Is it always negative to say that something is "computationally prohibitive"?

Yes, "computationally prohibitive" always implies a significant limitation or obstacle. It suggests that a particular approach or calculation is impractical or impossible due to excessive computational demands.

What factors typically cause something to "be computationally prohibitive when" analyzing data?

Common factors include the size of the dataset, the complexity of the algorithm, the required precision, and the available computing resources. These factors can lead to excessive processing time, memory usage, or energy consumption.

In what fields is the term "be computationally prohibitive when" most commonly used?

This term is frequently used in fields like computer science, data science, engineering, physics, and mathematics, where computational limitations are a significant concern. These fields often deal with complex simulations, large datasets, and computationally intensive algorithms.