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

be computationally intractable when

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "be computationally intractable when" is correct and usable in written English.
It can be used in contexts discussing problems or algorithms that are difficult or impossible to solve efficiently under certain conditions. Example: "Many optimization problems can be computationally intractable when the input size increases significantly."

✓ Grammatically correct

Science

Academia

Human-verified similar examples from authoritative sources

Similar Expressions

60 human-written examples

Variable density aquifer models are computationally intractable when integrated in optimization algorithms.

For complex fire models, this approach may be computationally intractable.

Finding such a residual generator is known to be computationally intractable via the conventional techniques.

Designing a structured controller is known to be computationally intractable via the traditional H∞ method.

Mathematical programming models that seek optimal design and operational plans for distribution systems can be computationally intractable.

I will describe the first robust and efficiently computable estimators for several fundamental statistical tasks that were previously thought to be computationally intractable.

Precise formulations of this optimization problem are known to be computationally intractable.

When λ>0, the balanced GNA problem (4) is equivalent to a general graph matching problem, discussed in Section 3.1, which is known to be computationally intractable in general.

Identifying all modules of a large network can be computationally intractable, that is, NP difficult [ 55, 56].

As discussed in Section 2 most of the reasoning problems in abstract argumentation were shown to be computationally intractable, i.e., NP-hard or even harder.

However, these methods are computationally intractable and can be inaccurate when the number of regions is large.

Show more...

Expert writing Tips

Best practice

When using "be computationally intractable when", clearly specify the conditions under which the computation becomes infeasible to provide context and avoid ambiguity.

Common error

Avoid stating that a problem is "computationally intractable" without providing specific conditions. This can mislead readers and undermine the credibility of your analysis.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

77%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "be computationally intractable when" functions as a predicate within a relative clause, modifying a noun phrase to indicate that a particular computational task becomes infeasible under certain circumstances. Ludwig AI provides several examples showcasing its typical usage in scientific and academic writing.

Expression frequency: Missing

Frequent in

Science

0%

Academia

0%

Formal & Business

0%

Less common in

News & Media

0%

Science

0%

Formal & Business

0%

Ludwig's WRAP-UP

In summary, "be computationally intractable when" is a phrase used to describe computational problems that become infeasible or practically impossible to solve efficiently under specific conditions. As shown by Ludwig AI, the phrase is correct and usable in English. The expression is most frequently used in academic and scientific contexts to articulate computational limitations and justify the exploration of approximation methods or alternative strategies. Remember to clearly specify the conditions under which the computation becomes infeasible when using this phrase.

More alternative expressions(10)

Phrases that express similar concepts, ordered by semantic similarity:

FAQs

How to use "be computationally intractable when" in a sentence?

Use "be computationally intractable when" to describe problems that become impossible or extremely difficult to solve efficiently under certain conditions. For example: "Variable density aquifer models are computationally intractable when integrated in optimization algorithms."

What does it mean for a problem to "be computationally intractable when"?

It means that the computational resources (time, memory, etc.) required to solve the problem grow so rapidly with the size of the input that it becomes impossible to find a solution in a reasonable amount of time under specific conditions. You can use "computationally infeasible when" as alternative.

Which problems "be computationally intractable when"?

Many optimization, design, and machine learning problems can be computationally intractable when dealing with large datasets, high dimensionality, or complex constraints. Exact solutions might not be feasible in such cases.

What are some alternatives to "be computationally intractable when"?

Alternatives include "be computationally prohibitive when", "pose significant computational challenges if", or "become computationally infeasible under circumstances", all depending on the specific nuance you want to convey.

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

77%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Most frequent sentences: