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Computationally heavy

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "computationally heavy" is correct and usable in written English.
You can use it to describe a task or process that requires significant computing resources. For example, you could say: "Data mining is a computationally heavy task that can be time consuming."

✓ Grammatically correct

Science

Academia

News & Media

Human-verified examples from authoritative sources

Exact Expressions

49 human-written examples

Adaptive fuzzy techniques are computationally heavy to implement.

This method was attempted on the hardware, but was much too computationally heavy.

As stated before, this project was too computationally heavy to be fully implemented on an 8-bit CPU.

Most algorithms begin with extensive use of classical bit analysis, and thus remain computationally heavy.

Results from the continuous model can also provide guidelines for constructing solutions to the more detailed, but computationally heavy discrete design models.

This is a computationally heavy task and most of the proposed methods can be regarded as "myopic" strategies with respect to a certain loss function.

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Human-verified similar examples from authoritative sources

Similar Expressions

11 human-written examples

Twin experiments are presented comparing the various filters along with a free run and a non propagating scheme corresponding to an optimal interpolation to quantify the benefit of these sophisticated, but computationally heavier filters with respect to a simpler approach.

Other proposals have been made, for example [ 21] which is more empirical and less adaptive and therefore introduces more variability in the data, and [ 17] which iteratively applies Fast Fourier Transform (FFT) to the image data and is therefore computationally heavier for high-throughput studies (tens of hours per image according to their data).

The author has retracted this article because its entire contents have been previously published by the author in another journal (Meghanathan, N.: Concordance-based Kendall's correlation for computationally-heavy centrality metrics: lower bound for correlation. J Comput Inf Technol (2017) 25:2 https://doi.org/10.20532/cit.2017.1003492).org/10.20532/cit.2017.1003492

Such direct approach is computationally too heavy, especially for larger models.

Anyhow, when several riveted joints are present, the simulation becomes computationally too heavy and usually significant restrictions to joint modelling are introduced, sacrificing the accuracy of local stiffness evaluation.

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Expert writing Tips

Best practice

When describing algorithms or processes, use "computationally heavy" to clearly indicate that they require significant processing power. Be specific about why they are computationally heavy (e.g., large datasets, complex calculations).

Common error

Avoid using "computationally heavy" when simpler terms like "complex" or "difficult" suffice. This phrase is most appropriate in technical discussions related to computing and algorithms.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

82%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "computationally heavy" functions as an adjective phrase, modifying nouns to describe processes, algorithms, or tasks that demand significant computing resources. Ludwig AI confirms this usage.

Expression frequency: Very common

Frequent in

Science

78%

Academia

18%

News & Media

4%

Less common in

Formal & Business

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "computationally heavy" is a grammatically sound and frequently used adjective phrase, primarily in scientific and academic contexts, to describe processes or algorithms that require significant computing resources. Ludwig AI validates this usage, confirming its acceptance in formal writing. When using the phrase, focus on contexts where the computational demands are a critical factor, avoiding overuse in simpler situations. Alternatives such as "computationally intensive" and "resource-intensive" can provide nuanced distinctions. Understanding its appropriate usage, and common pitfalls, will enhance your technical writing.

FAQs

What does "computationally heavy" mean?

The phrase "computationally heavy" describes a task, process, or algorithm that requires a significant amount of computing resources, such as processing power and memory, to execute effectively.

When should I use "computationally heavy" in my writing?

Use "computationally heavy" primarily in technical contexts when discussing algorithms, data processing, or software engineering to accurately describe the demands on computing resources. It is particularly relevant when you want to emphasize that a process's computational requirements are a limiting factor.

What are some alternatives to "computationally heavy"?

Depending on the context, you can use alternatives like "computationally intensive", "resource-intensive", or "algorithmically complex". Choose the phrase that best captures the specific reason for the high computational demand.

Is "computationally heavy" the same as "computationally expensive"?

While similar, "computationally heavy" focuses on the resource demands of a process, whereas "computationally expensive" emphasizes the cost (time, money, or resources) associated with it. A task can be computationally heavy without being particularly expensive if resources are readily available.

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Most frequent sentences: