Used and loved by millions

Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak quote

Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

MitStanfordHarvardAustralian Nationa UniversityNanyangOxford

computational efficiency

Grammar usage guide and real-world examples

USAGE SUMMARY

"computational efficiency" is correct and usable in written English.
You can use it when referring to how quickly and efficiently a computer completes tasks. For example, "The new software program demonstrated impressive computational efficiency in completing the assigned task."

✓ Grammatically correct

Science

Academia

News & Media

Human-verified examples from authoritative sources

Exact Expressions

59 human-written examples

(e) Computational efficiency: our framework is computationally more efficient.

The simulations were optimised for computational efficiency as described in103.

Science & Research

Nature

Powerful strategies for improving spatiotemporal accuracy while preserving computational efficiency.

He also devised interpolation procedures of great computational efficiency to obtain intermediate values.

Encyclopedias

Britannica

Computational efficiency is enhanced by GPU-parallelization.

This has the advantage of computational efficiency and leads to simpler, more interpretable results.

Science & Research

Nature

Linux programmers whittle away at code in pursuit not of computational efficiency but of elegance.

Hence the computational efficiency is improved considerably.

It unifies physical accuracy with computational efficiency.

That's important because it prevents unnecessary searches down unprofitable branches of the tree and dramatically improves computational efficiency.

Computational efficiency.

Show more...

Expert writing Tips

Best practice

When discussing improvements in processing, specify which resources are being used more efficiently (e.g., memory, CPU time, energy) to provide context.

Common error

Avoid assuming that increased "computational efficiency" is always desirable. Sometimes, optimizing for speed or resource use can sacrifice accuracy or introduce bias into the results. Always consider the trade-offs.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

84%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "computational efficiency" functions primarily as a noun phrase, often acting as the subject or object of a sentence. Ludwig AI confirms its correctness, and its frequent usage across various contexts underscores its grammatical validity. It generally describes a quality or attribute.

Expression frequency: Very common

Frequent in

Science

64%

Academia

17%

News & Media

7%

Less common in

Encyclopedias

2%

Wiki

2%

Formal & Business

2%

Ludwig's WRAP-UP

In summary, "computational efficiency" is a common and grammatically sound noun phrase that describes how effectively a computing process uses resources. As Ludwig AI confirms, it's widely used across scientific, academic, and technical contexts to assess algorithms, systems, and processes. While highly valuable, it's important to consider the trade-offs between efficiency, accuracy, and potential bias. Related phrases like "algorithmic efficiency" and "resource optimization" offer alternative ways to express similar concepts. Remember to specify which resources are being optimized when discussing efficiency gains.

FAQs

How is "computational efficiency" measured?

It's typically measured by the amount of resources (time, memory, energy) an algorithm or system requires to solve a problem. Lower resource consumption indicates higher "computational efficiency".

What factors affect "computational efficiency"?

Algorithm design, hardware capabilities, and software implementation all significantly impact "computational efficiency". Better algorithms, faster processors, and optimized code lead to improved efficiency.

Why is "computational efficiency" important?

It's crucial for handling large datasets, real-time processing, and resource-constrained environments. High "computational efficiency" enables faster analysis, quicker responses, and longer battery life in devices.

What are some strategies for improving "computational efficiency"?

Using more efficient algorithms, optimizing code, employing parallel processing, and leveraging hardware acceleration are common strategies. Also, consider using "resource optimization" techniques.

ChatGPT power + Grammarly precisionChatGPT power + Grammarly precision
ChatGPT + Grammarly

Editing plus AI, all in one place.

Stop switching between tools. Your AI writing partner for everything—polishing proposals, crafting emails, finding the right tone.

Source & Trust

84%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Most frequent sentences: