be computationally expensive when

USAGE SUMMARY

The phrase "be computationally expensive when" is correct and usable in written English.
It can be used when discussing scenarios or conditions under which a process or operation requires significant computational resources or time. Example: "The algorithm can be computationally expensive when processing large datasets, leading to longer execution times."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

2 human-written examples

This could be computationally expensive when a single evaluation is time-consuming, finite element models for example.

Reliability Engineering & System Safety

The minimization of the total MSE using the above equation provides solutions for E k and the Lagrangian multiplier λ, subject to the energy constraint ∑ k = 1 K ∗ E k ≤ E T. Since b p k is expressed as a function of ϵ k and E k, b T = ∑ k = 1 K ∗ b p k will be determined only after energy allocation, which could be computationally expensive, when an iterative energy calculation is required.

EURASIP Journal on Wireless Communications and Networking

Human-verified similar examples from authoritative sources

Similar Expressions

58 human-written examples

Maximum likelihood methods are computationally expensive when the number of taxa is large, because the number of possible trees (for each of which the probability must be calculated) grows factorially with the number of taxa.

Encyclopedia Britannica

Molecular dynamics simulations of heat transfer in gases are computationally expensive when the wall molecules are explicitly modeled.

Journal of Computational Physics

Both methods are computationally expensive when either the number of model parameters or the number of observed data is large.

Journal of Petroleum Science and Engineering

nMDS proved to be robust in preserving inter-relationships between structures, although it is computationally expensive when the data size was increased.

Plosone

Doing so is computationally expensive when many clones are sweeping simultaneously in the population.

Genetics

One reason for this state of affairs is the fact that simulating cellular models is computationally expensive, when compared to the data processing tasks.

BMC Systems Biology

Computing the CRBs from the previous equations may be computationally expensive, especially when the number of available channel vector estimates K is high.

EURASIP Journal on Advances in Signal Processing

However, this approach would be computationally expensive, as when meshes are closer to each other higher-resolution meshes are required.

Brain Topography

One problem is that simulation of biological shape deformations – which invariably involves solving partial differential equations on moving boundaries – can be computationally expensive particularly when the cellular deformations are not small.

BMC Systems Biology

Expert writing Tips

Best practice

When using "be computationally expensive when", clearly specify the conditions under which the computational cost becomes significant. This provides context and helps readers understand the limitations or trade-offs involved.

Common error

Avoid vague statements about computational expense. Instead, provide specific metrics or comparisons to illustrate the magnitude of the cost. For example, mention the increase in processing time, memory usage, or energy consumption.

Linguistic Context

The phrase "be computationally expensive when" functions as a qualifier, indicating under what specific circumstances a process demands significant computational resources. As Ludwig AI confirms, this construction is both grammatically correct and usable in written English. Examples from Ludwig showcase its application in scientific and technical contexts.

Expression frequency: Uncommon

Frequent in

Science

100%

News & Media

0%

Formal & Business

0%

Less common in

Encyclopedias

0%

Wiki

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Reference

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Ludwig's WRAP-UP

The phrase "be computationally expensive when" serves as a critical qualifier, pinpointing the conditions under which a process becomes resource-intensive. Ludwig AI confirms its grammatical correctness and usability, primarily within scientific and technical contexts. Its main purpose is to caution against potential resource limitations or performance challenges. The use of this phrase emphasizes awareness of the trade-offs between accuracy, complexity, and computational demands. While the phrase is relatively uncommon, using precise language, providing specific metrics, and offering context are essential for its effective application.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

incur significant computational costs if

Replaces 'expensive' with the more explicit 'incur significant computational costs' and 'when' with 'if'.

are computationally demanding if

Uses "demanding" instead of "expensive", and replaces "when" with "if".

become computationally intensive under particular circumstances

Replaces 'expensive' with 'intensive' and 'when' with 'under particular circumstances'.

demand substantial computational resources when

Emphasizes the demand for resources and uses 'substantial' for a stronger impact.

require significant processing power under certain conditions

Focuses on processing power rather than direct cost and uses a more generic 'under certain conditions' instead of a specific trigger.

necessitate substantial computation when

Emphasizes the necessity of substantial computation under given conditions.

prove resource-intensive when

Highlights the 'resource-intensive' aspect, broadening the scope beyond just computation.

consume considerable processing time when

Highlights the aspect of processing time, using "consume" and "considerable" for emphasis.

entail a high computational overhead when

Focuses on the 'overhead' associated with computation, indicating an additional burden.

take a long time to compute when

Simplifies the language to highlight the time aspect of computation.

FAQs

How can I rephrase "be computationally expensive when" to sound more formal?

For a more formal tone, consider alternatives like "incur significant computational costs if", "demand substantial computational resources when", or "necessitate substantial computation when".

What does "be computationally expensive when" mean?

It means that a certain process or operation requires a large amount of computational resources, such as processing time, memory, or energy, under specific conditions.

Is it always bad if something is "computationally expensive when"?

Not necessarily. Sometimes, the increased computational cost is a trade-off for better accuracy, performance, or other desirable outcomes. The key is to understand and justify the trade-off.

What are some examples of processes that "be computationally expensive when" dealing with large datasets?

Examples include training complex machine learning models, simulating physical systems with high fidelity, or performing exhaustive searches in large solution spaces. /s/Incur+significant+computational+costs+if when dealing with a lot of data.