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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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continuous time

Grammar usage guide and real-world examples

USAGE SUMMARY

"continuous time" is a correct and usable phrase in written English.
You can use it to refer to a period of time that is unbroken or uninterrupted. For example, "We had been waiting in line for over an hour, so when the doors opened it felt like we were in a state of continuous time."

✓ Grammatically correct

Academia

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

30 human-written examples

Now we're talking continuous time.

Discrete and continuous time parameter Markov chains.

We're still in the continuous time domain.

Most network models are instantiated as continuous time systems.

Science & Research

Nature

The model is a continuous time model.

Let's now remove the continuous time envelope of the samples.

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Human-verified similar examples from authoritative sources

Similar Expressions

30 human-written examples

This can be eliminated employing continuous, time-resolved detection.

"Continuous-time learning and optimization".

combines discrete and continuous-time dynamics.

Let's begin with the continuous-time case.

Continuous-Time Model of Structural Balance.

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Expert writing Tips

Best practice

When discussing mathematical models or systems, use "continuous time" to clearly distinguish from discrete-time models. This ensures clarity and precision in technical writing.

Common error

Avoid using "continuous time" when you actually mean "consecutive time". "Continuous time" implies an unbroken flow, while "consecutive time" simply means following in order.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

88%

Authority and reliability

4.5/5

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Real-world application tested

Linguistic Context

The phrase "continuous time" functions as a compound adjective modifying a noun (e.g., "model", "signal", "system"). It specifies that the noun it modifies exists or operates within a continuous time domain, as opposed to a discrete one. As Ludwig AI confirms, this phrase is correct and usable.

Expression frequency: Common

Frequent in

Academia

40%

Science

40%

News & Media

8%

Less common in

Formal & Business

4%

Encyclopedias

4%

Social Media

0%

Ludwig's WRAP-UP

The phrase "continuous time" is a grammatically sound and commonly used term, especially within academic and scientific domains. As Ludwig AI points out, it's employed to denote a time domain that is unbroken and allows values at every point, differentiating it from discrete time. When using "continuous time", remember to avoid confusion with similar phrases like "consecutive time". Utilizing this phrase correctly will add precision to technical writing and discussions. Its formal nature makes it suitable for academic papers, scientific research, and engineering documentation.

FAQs

How is "continuous time" used in signal processing?

In signal processing, "continuous time" refers to signals defined over a continuous domain, as opposed to discrete-time signals which are sampled at specific intervals. Understanding the distinction is crucial for "signal analysis" and system design.

What's the difference between "continuous time" and "discrete time"?

"Continuous time" represents a time domain that is unbroken, allowing values at every point, whereas "discrete time" only considers values at specific, separate points in time. "Discrete time" is often used in digital systems.

In what fields is "continuous time" commonly used?

"Continuous time" is a fundamental concept in fields like physics, engineering, economics, and mathematics, particularly in areas dealing with dynamic systems, stochastic processes, and modeling phenomena that evolve over time. It's often contrasted with "discrete time models".

How does "continuous time" relate to Markov chains?

A "continuous time" Markov chain models transitions between states that can occur at any point in time, not just at fixed intervals. This is in contrast to discrete-time Markov chains where state transitions occur at specific time steps. "Markov processes" can be both continuous and discrete.

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Most frequent sentences: