be computationally intensive when

USAGE SUMMARY

The phrase "be computationally intensive when" is correct and usable in written English.
It can be used when discussing tasks or processes that require significant computational resources or time under certain conditions. Example: "The algorithm tends to be computationally intensive when processing large datasets."

✓ Grammatically correct

Science

Academia

News & Media

Human-verified examples from authoritative sources

Exact Expressions

3 human-written examples

However, this approach can be computationally intensive when applied to complex engineering systems having many uncertain parameters.

Journal of Sound and Vibration

The process of obtaining the Markov state transition matrix that governs the dynamics can be computationally intensive when using Monte Carlo based system identification techniques.

University of California, Berkeley

Performing the power calculations and the evaluation of the financial costs of the different study designs can be computationally intensive when complex models and large sample sizes are being evaluated.

AAPS Journal

Human-verified similar examples from authoritative sources

Similar Expressions

57 human-written examples

However, these equalizers are computationally intensive when a time-domain implementation is used.

EURASIP Journal on Wireless Communications and Networking

For higher SNR conditions, it is not necessary to use a technique which is computationally intensive when the symbol error rate is low.

EURASIP Journal on Advances in Signal Processing

However, most OTU algorithms are computationally intensive when applied to large datasets.

BMC Genomics

However, differential equation-based approaches are computationally intensive when updating parameter values and simulation results simultaneously.

BMC Systems Biology

This is to minimize the calculation time for IBS relationships, which is computationally intensive when performed in thousands of replicates.

Genetic Epidemiology

The explicit modelling of individuals in a large population, however, can be computationally intensive, especially when models are stochastic and/or spatially-explicit.

Environmental Modelling & Software

However, the calculation of IBR models might be computationally intensive, especially when using individuals as the sampling unit rather than populations, which increases the data set size.

Evolutionary Applications

However, variable selection methods tend to be computationally intensive, feasible perhaps when considering a single pollutant but quickly becoming impractical when developing predictions for multiple pollutants.

Environmental Health Perspectives

Expert writing Tips

Best practice

When using "be computationally intensive when", clearly specify the conditions that lead to high computational demands to provide context and clarity for your audience.

Common error

Avoid using "be computationally intensive when" without clarifying the specific conditions or factors that cause the increased computational load. Provide details on the dataset size, algorithm complexity or hardware limitations to make the statement more informative.

Linguistic Context

The phrase "be computationally intensive when" functions as a descriptive phrase, indicating that a process or task demands significant computational resources under certain conditions. Ludwig AI examples demonstrate this phrase's role in explaining the complexities of various algorithms and systems.

Expression frequency: Uncommon

Frequent in

Science

70%

Academia

20%

News & Media

10%

Less common in

Encyclopedias

0%

Formal & Business

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "be computationally intensive when" is a descriptive term used to indicate that a process demands significant computational resources under specific conditions. As highlighted by Ludwig AI, it's grammatically correct and commonly found in scientific and academic contexts. The phrase serves to inform readers about the high resource demands of particular processes and is often used to justify the need for optimization strategies or alternative approaches. While not overly frequent, its presence in authoritative sources like ScienceDirect, PubMed and Nature underscores its technical and specialized usage. When employing this phrase, it's best practice to clearly specify the conditions that trigger the computational intensity to provide clarity and context.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

require significant computational resources under certain circumstances

Emphasizes resource demand rather than intensity, specifying conditions.

demand considerable processing power in specific situations

Highlights the power needed for processing under particular circumstances.

become resource-intensive given certain parameters

Focuses on resource usage based on defined parameters.

pose a significant computational load if certain conditions are met

Highlights the load imposed on the system when particular requirements are satisfied.

present a high processing overhead under certain conditions

Focuses on processing overhead when specific conditions apply.

necessitate substantial computing capacity for particular tasks

Highlights the need for high capacity for specific tasks.

involve intensive calculations when specific criteria are present

Emphasizes the involvement of detailed calculations given certain criteria.

are computationally demanding when applied to complex scenarios

Focuses on the computational demands in complex applications.

require a large amount of processing when dealing with intricate data

Highlights the need for significant processing for complex data.

entail significant computational complexity under defined circumstances

Focuses on the complexity involved in computations under specific conditions.

FAQs

What does it mean for a process to "be computationally intensive when"?

It means that the process requires a significant amount of computing resources, such as processing power, memory, or time, especially under certain specified conditions. This often occurs when dealing with large datasets, complex algorithms, or real-time processing.

When is it appropriate to say that something "be computationally intensive when"?

It's appropriate when you want to highlight that a task or process demands substantial computing resources, particularly in specific circumstances. For example, "the simulation can "be computationally intensive when" dealing with high-resolution data".

Are there alternatives to saying a task "be computationally intensive when"?

Yes, you can use phrases like "require significant computational resources under certain circumstances", "demand considerable processing power in specific situations", or "become resource-intensive given certain parameters" depending on the specific nuance you want to convey. These alternatives also highlight the conditional nature of the computational demand.

How can I reduce the computational intensity when a process "be computationally intensive when"?

You can try optimizing the algorithm, reducing the dataset size, using more efficient data structures, employing parallel processing techniques, or utilizing specialized hardware like GPUs. Each of these strategies aims to minimize the resource demands during computation.