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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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constant time

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "constant time" is correct and usable in written English.
It is typically used in computer science and mathematics to describe an operation that takes the same amount of time to complete, regardless of the size of the input data. Example: "The algorithm runs in constant time, meaning it will execute in the same duration no matter how many elements are processed."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

54 human-written examples

This requires constant time.

It takes only constant time.

The sampling can be accomplished in a (semi) constant time or non constant-time manner.

d denotes the constant time delay.

represents a constant time to maturity.

Resource extension functions are used for constant time move evaluation.

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Human-verified similar examples from authoritative sources

Similar Expressions

6 human-written examples

But the constant time-jumps could make it a difficult show to parse for any casual viewer.

(tau>0) is the constant time-delay.

The result is constant, time-independent, shape factors.

We consider the case of a single link with multiple channels and a constant time-delay.

Science

Automatica

The designer chooses the controller order and may introduce constant time-delays in the controller.

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Expert writing Tips

Best practice

When discussing algorithms or processes, use "constant time" to clearly indicate that the execution time is independent of the input size. This is especially useful in technical documentation and presentations.

Common error

Avoid assuming that "constant time" means an operation is necessarily fast; it only means the time taken does not change with the size of the input. An operation can run in "constant time" but still be slow.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

81%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "constant time" functions as an adjectival modifier to the noun "time". It describes a specific characteristic of "time", indicating that it remains unchanged regardless of other variables. As Ludwig AI shows, this phrase is commonly used in technical and scientific contexts.

Expression frequency: Very common

Frequent in

Science

76%

News & Media

12%

Formal & Business

6%

Less common in

Academia

3%

Encyclopedias

1%

Wiki

1%

Ludwig's WRAP-UP

In summary, the phrase "constant time" is grammatically sound and most commonly used in scientific and technical contexts to describe a fixed duration or interval. According to Ludwig AI, the phrase is correct and frequently used. While alternatives like "fixed time" or "unchanging duration" exist, they might lack the technical precision required in certain fields. When writing, remember that "constant time" does not imply speed but rather a lack of variability with input size. Its high frequency in authoritative sources underscores its importance in technical discourse.

FAQs

How is "constant time" typically used in computer science?

In computer science, "constant time" refers to an algorithm whose execution time remains the same regardless of the input size. This is often denoted as O(1) in Big O notation.

What's an alternative to saying "constant time" in a less technical context?

In less technical contexts, you could use phrases like "fixed time", "set duration", or "unchanging duration" to convey a similar meaning.

How does "constant time" differ from linear time in algorithm analysis?

"Constant time" means the execution time is fixed, whereas linear time means the execution time increases proportionally with the input size. An algorithm that operates in "linear time" would take twice as long if the input size doubles, but an algorithm in "constant time" would not be affected.

Is it more efficient for an algorithm to run in "constant time" compared to logarithmic time?

Generally, yes. "Constant time" O(1) is more efficient than "logarithmic time" O(log n), as logarithmic time still increases (albeit slowly) with input size, while "constant time" remains the same no matter the input size.

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Most frequent sentences: