low computational complexity

USAGE SUMMARY

The phrase 'low computational complexity' is correct and is used in written English.
It is usually used to describe the efficiency of a computer algorithm and is particularly prevalent in computer science and other technical contexts. For example, "This algorithm has a low computational complexity which makes it suitable for use in a real-time system."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Our scheduler has low computational complexity.

EURASIP Journal on Wireless Communications and Networking

These methods have low computational complexity and fast convergence.

EURASIP Journal on Wireless Communications and Networking

The calculation of MSE is of low computational complexity also.

EURASIP Journal on Image and Video Processing

Their advantage is low computational complexity and a simple implementation.

EURASIP Journal on Advances in Signal Processing

This proposal concentrates on low computational complexity algorithms.

EURASIP Journal on Advances in Signal Processing

Both heuristics are greedy and require low computational complexity.

EURASIP Journal on Wireless Communications and Networking

The algorithms is simple and has a low computational complexity.

EURASIP Journal on Advances in Signal Processing

The advantage of this algorithm is its low computational complexity.

EURASIP Journal on Advances in Signal Processing

The algorithm has a relatively low computational complexity.

EURASIP Journal on Wireless Communications and Networking

Another advantage of the algorithm is the low computational complexity.

EURASIP Journal on Information Security

Therefore, with short horizons, a low computational complexity is expected.

IFAC Proceedings Volumes

Expert writing Tips

Best practice

When describing algorithms, use "low computational complexity" to highlight efficiency, especially when comparing it to algorithms with higher complexity.

Common error

Avoid using "low computational complexity" interchangeably with "fast". While related, an algorithm can be fast due to hardware improvements, but "low computational complexity" specifically refers to the algorithm's inherent efficiency, regardless of the hardware.

Linguistic Context

The phrase "low computational complexity" functions as a noun phrase that describes a desirable attribute of algorithms or methods, indicating their efficiency and minimal resource requirements. Ludwig AI confirms this is a correct and common usage, particularly in technical contexts.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Ludwig's WRAP-UP

The phrase "low computational complexity" is a common and grammatically correct term used in technical fields, particularly in science and engineering, to describe the efficiency of algorithms and methods. Ludwig AI indicates that this term is widely accepted and correctly used. The phrase implies that a process requires minimal computational resources, making it practical for implementation in real-world scenarios. When writing, ensure that you're accurately representing the algorithm's efficiency and not simply its speed, as the latter can be influenced by hardware. By considering the alternative phrases you can enrich the technical language in your articles.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

computationally efficient

Focuses on the efficiency aspect, implying that the process uses minimal resources during computation.

computationally inexpensive

Replaces the more formal "computational complexity" with a simpler adjective, "inexpensive", to convey the idea of minimal computational cost.

algorithmically simple

Highlights the simplicity of the algorithm, which is a direct contributor to low computational demands.

lightweight algorithm

Analogizes the algorithm as being light and not burdensome or costly.

requires minimal processing power

Emphasizes the hardware requirements, indicating that the task can be performed even with limited computational resources.

easy to compute

Simplifies the language, focusing on the ease with which the computation can be performed.

efficient processing

Implies the method of processing is structured so as to not waste any resources.

fast computation

Highlights the speed of the computation, which often correlates with low complexity.

optimized for speed

Focuses on optimization efforts to achieve rapid computational results.

streamlined calculation

Emphasizes how the process of calculation is lean, efficient and without wasted steps.

FAQs

How can I use "low computational complexity" in a sentence?

You can use "low computational complexity" to describe algorithms, methods, or systems that are efficient and require minimal computational resources. For example, "This algorithm's main advantage is its "low computational complexity" making it suitable for real-time applications."

What's a simple way to explain "low computational complexity"?

"Low computational complexity" means that an algorithm or process doesn't require a lot of computing power or time to run. It's like saying the process is efficient and doesn't waste resources. If you are searching for alternative ways of expressing this you can look into "computationally efficient"."

What are the benefits of an algorithm with "low computational complexity"?

Algorithms with "low computational complexity" are faster, require less processing power, and can be implemented on devices with limited resources. This makes them ideal for applications where speed and efficiency are crucial. The "algorithmically simple" nature of such algorithms ensures swift execution and optimized resource utilization.

Is "low computational complexity" always desirable?

While "low computational complexity" is generally desirable, it might come at the cost of accuracy or optimality in some cases. Sometimes, a more complex algorithm is needed to achieve the best possible result. However, if resources are constrained then this is where "optimized for speed" is crucial.