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CEO of Professional Science Editing for Scientists @ prosciediting.com

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computationally efficient

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "computationally efficient" is correct and commonly used in written English.
It is used to describe a process, system, or algorithm that is able to perform computation tasks quickly and with minimal resources. Example: The new software program is designed to be computationally efficient, allowing users to process large amounts of data in seconds.

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

The method is computationally efficient and, with minor modifications, is still used by computers.

Computationally efficient.

These methods are computationally efficient.

This approach is computationally efficient.

These algorithms are computationally efficient.

The method is computationally efficient.

The design is computationally efficient.

Thus, this method is computationally efficient.

The presented algorithms were also computationally efficient.

Thereby, the proposed method is computationally efficient.

The well-known computationally efficient polyphase structure can be assumed.

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Expert writing Tips

Best practice

When describing algorithms or methods, use "computationally efficient" to highlight their speed and minimal resource usage. This is especially relevant in fields like data science, engineering, and computer science.

Common error

Avoid claiming a method is "computationally efficient" without providing evidence or benchmarks. Quantify the efficiency gains or compare it to existing methods to strengthen your claim.

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

4.6/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "computationally efficient" functions as an adjective phrase, modifying nouns (like algorithm, method, model) to indicate its ability to perform computations with minimal resources. According to Ludwig AI, this phrase is correct and commonly used.

Expression frequency: Very common

Frequent in

Science

98%

Formal & Business

1%

Encyclopedias

1%

Less common in

News & Media

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

The phrase "computationally efficient" is a well-established term, primarily used in scientific and technical contexts to describe algorithms, methods, or models that perform calculations quickly and with minimal resource usage. As Ludwig AI confirms, it's grammatically correct and commonly used. This analysis reveals that the phrase is most frequently found in scientific literature, highlighting its importance in fields like data science, engineering, and computer science. While claiming an algorithm is "computationally efficient", providing evidence or benchmarks is crucial to validate the claim.

FAQs

How can I use "computationally efficient" in a sentence?

You can use "computationally efficient" to describe algorithms, methods, or systems that perform calculations quickly and with minimal resources. For example, "The new algorithm is "computationally efficient", making it suitable for real-time applications."

What's the difference between "computationally efficient" and "computationally effective"?

"Computationally efficient" refers to the speed and resource usage of a computation, while "computationally effective" implies that the computation produces the desired result accurately. A method can be "computationally efficient" but not "computationally effective" if it produces incorrect results quickly.

What are some synonyms for "computationally efficient"?

Alternatives to "computationally efficient" include "computationally optimized", "computationally streamlined", or "resource-efficient computation", depending on the specific aspect you want to emphasize.

Why is computational efficiency important?

Computational efficiency is crucial for handling large datasets, real-time processing, and resource-constrained environments. Efficient algorithms and methods can significantly reduce processing time, energy consumption, and hardware costs, leading to better overall performance.

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Authority and reliability

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Most frequent sentences: