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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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low computational cost

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "low computational cost" is correct and usable in written English.
It can be used in contexts related to computer science, algorithms, or any field where efficiency and resource usage are discussed. Example: "The new algorithm offers a low computational cost, making it suitable for real-time applications."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Second, it must have low computational cost since we have to reduce computation time to a clinically acceptable level.

The urgent requirement of the sustainable computing determines that many security assurance protocols are designed with low computational cost.

The recommendation function is linear and shows low computational cost.

Lossy compression can substantially reduce raw CT data size at low computational cost.

The approach allows accurate modeling of full-scale catalytic converters with low computational cost.

The main advantages of the proposed method are robustness and low computational cost.

The method successfully obtained optimal stacking sequences with the strength constraint at low computational cost.

The results show that the proposed method has low computational cost and high precision.

Accurate results are obtained while maintaining a very low computational cost.

It applies to pixilated surfaces obtained from experimental images and performs at low computational cost.

The low computational cost makes this method ideal for path planning in dynamic environments.

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Expert writing Tips

Best practice

When describing the efficiency of an algorithm or system, quantify the "low computational cost" with specific metrics like time complexity or memory usage to provide concrete evidence of its performance.

Common error

Avoid exaggerating the reduction in computational cost without providing evidence. Instead of claiming "negligible cost", present comparative data or benchmarks to support the claim of efficiency.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

85%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "low computational cost" functions as an adjective phrase that modifies a noun, typically referring to a method, algorithm, or process. It indicates that the entity being described requires minimal computational resources. According to Ludwig AI, this phrase is correct and usable in written English.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

The phrase "low computational cost" is a widely used term, especially in scientific and technical fields, to describe the efficiency of algorithms, methods, or processes. Ludwig AI confirms its grammatical correctness and usability. Its purpose is to convey that a particular approach requires minimal computing resources, making it practical and scalable. The phrase appears frequently in scientific publications. When using this phrase, remember to quantify the cost reduction with metrics for clarity and avoid overstating the efficiency without supporting evidence. Related phrases include "computationally inexpensive" and "efficient algorithm execution".

FAQs

How can I describe something that has a "low computational cost"?

You can use alternatives such as "computationally inexpensive", "efficient algorithm execution", or "minimal processing power requirement" depending on the specific context.

What does "low computational cost" mean in the context of algorithms?

It means that the algorithm requires minimal resources, such as processing time and memory, to execute. This often translates to faster execution and the ability to handle larger datasets.

Is there a difference between "low computational cost" and "low computational complexity"?

While related, "low computational cost" refers to the resources needed in practice, while "low computational complexity" is a theoretical measure of how the algorithm's resource requirements grow with input size.

In what fields is the term "low computational cost" commonly used?

The term is frequently used in computer science, engineering, and data science, particularly when discussing algorithms, machine learning models, and simulations.

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Authority and reliability

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Real-world application tested

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