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high computational complexity

Grammar usage guide and real-world examples

USAGE SUMMARY

'high computational complexity' is a correct and usable phrase in written English.
You can use this phrase when referring to a task, program, or algorithm that requires significant resources (such as memory or time) to be completed. For example, "Due to its high computational complexity, it took several hours to finish the program."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Their values can be computed only with iterative techniques which are characterised by high computational complexity.

High computational complexity of a single round.

However, DS beamforming exhibits high computational complexity.

However, this results in high computational complexity.

ML approach requires high computational complexity.

Another limitation of SmartTracing is the relatively high computational complexity.

This approach provides accurate estimates over a high computational complexity.

SAMK CP is removed due to its high computational complexity.

Previous methods based on density estimation required high computational complexity.

However, this design approach is of high computational complexity.

However, this scheme has a high computational complexity.

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Expert writing Tips

Best practice

When discussing algorithms or processes, quantify the "high computational complexity" by specifying the time complexity (e.g., O(n^2), O(log n)) to provide a concrete understanding of the resource requirements.

Common error

Before stating that a task has "high computational complexity", consider whether there are alternative algorithms or methods with lower complexity that could achieve a similar result. Sometimes a slight compromise in accuracy can lead to significant gains in efficiency.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

83%

Authority and reliability

4.6/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "high computational complexity" functions as a noun phrase, where "high" is an adjective modifying the noun phrase "computational complexity". It typically serves as a subject complement or object in a sentence, as shown by Ludwig's examples.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

The phrase "high computational complexity" is a frequently used term, particularly in scientific and technical writing, to describe tasks or algorithms that demand significant computational resources. As Ludwig AI confirms, this phrase is grammatically correct and widely accepted. When using this phrase, it's beneficial to quantify the complexity with specific time complexity notations (e.g., O(n^2)). Considering alternative, less complex approaches before settling on a computationally intensive method is also wise. While "high computational complexity" is not inherently negative, understanding its implications is crucial for effective system design and resource management.

FAQs

How to use "high computational complexity" in a sentence?

You can use "high computational complexity" to describe a task, algorithm, or system that requires significant computational resources. For example: "The algorithm's "high computational complexity" makes it unsuitable for real-time applications."

What are some alternatives to saying "high computational complexity"?

Alternatives include "computationally intensive", "resource-intensive computation", or "computationally demanding". The best choice depends on the specific context.

What does "high computational complexity" imply about an algorithm?

It implies that the algorithm requires significant processing power, memory, and/or time to execute, especially as the input size grows. This can make it impractical for large datasets or real-time systems.

Is "high computational complexity" always a bad thing?

Not necessarily. Sometimes, "high computational complexity" is the price to pay for achieving optimal results or a certain level of accuracy. However, it's important to be aware of the trade-offs and explore alternatives if possible.

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Most frequent sentences: