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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com
be computationally intractable when
Grammar usage guide and real-world examplesUSAGE 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
Alternative expressions(17)
be computationally prohibitive when
infeasible to compute when
become infeasible to compute when
be impractical to calculate when
become computationally unrealistic when
not be viable computationally when
be computationally expensive when
becomes computationally prohibitive when
become computationally prohibitive when
be computationally inefficient when
be computationally cumbersome when
be computationally intensive when
be computationally efficient when
be computationally intense when
be computationally challenging when
be computationally prohibitive and
when dealing with
Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
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.
Science
For complex fire models, this approach may be computationally intractable.
Science
Finding such a residual generator is known to be computationally intractable via the conventional techniques.
Science
Designing a structured controller is known to be computationally intractable via the traditional H∞ method.
Science
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.
Science
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.
Science
Identifying all modules of a large network can be computationally intractable, that is, NP difficult [ 55, 56].
Science
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.
Science
However, these methods are computationally intractable and can be inaccurate when the number of regions is large.
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.
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.
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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:
be computationally prohibitive when
Substitutes "intractable" with "prohibitive" to emphasize the impracticality of computation under certain conditions.
be computationally impractical under conditions
Replaces "intractable" with "impractical" and adds "under conditions" for clarity.
become computationally infeasible under circumstances
Replaces "intractable" with "infeasible" and adds "under circumstances" for a slightly more descriptive tone.
be computationally unmanageable if
Indicates that the computation becomes too difficult to handle or control under specific circumstances.
be effectively unsolvable computationally when
Emphasizes the near impossibility of finding a solution within reasonable computational resources.
exceed practical computational limits when
Highlights the exceeding of computational limitations, making the task unachievable in practice.
be computationally overwhelming when
Implies that the computational demands become too great to handle effectively.
pose significant computational challenges if
Uses "pose significant computational challenges" to soften the original statement and "if" to introduce the condition.
encounter insurmountable computational barriers when
Uses stronger language to convey the impossibility of overcoming computational obstacles.
be too complex to compute efficiently if
Focuses on the complexity aspect and the lack of efficient computation when certain conditions are met.
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.
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Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Source & Trust
77%
Authority and reliability
4.5/5
Expert rating
Real-world application tested