computational cost

USAGE SUMMARY

The phrase "computational cost" is correct and can be used in written English.
You can use this phrase in contexts where you are talking about the amount of effort, resources, or time needed to carry out a computational task. For example, "The computational cost of analyzing this large dataset is high."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Figure 4 represents computational cost for similarity computations.

Data Science and Engineering

Most improvements come at high computational cost.

Geoderma

for a negligible additional computational cost.

Journal of Computational Physics

The computational cost is significantly reduced.

Engineering Structures

The first is the high computational cost.

Engineering Applications of Artificial Intelligence

The computational cost can thus be reduced.

Computer Methods and Programs in Biomedicine

This can substantially reduce the computational cost.

Chemical Physics Letters

But this would require more computational cost.

Computer Physics Communications

Thus, the computational cost becomes smaller.

Engineering Applications of Artificial Intelligence

So the computational cost is very modest.

Mechanics of Materials

Computational cost.

Data Science and Engineering

Expert writing Tips

Best practice

When discussing algorithms or models, quantify the "computational cost" by specifying its time and space complexity (e.g., O(n log n) time, O(n) space) to provide concrete information.

Common error

Don't only consider the theoretical "computational cost". Remember to factor in implementation overhead, such as software licensing fees or specialized hardware requirements, for a complete cost analysis.

Linguistic Context

The phrase "computational cost" functions as a noun phrase. It typically acts as a subject or object in a sentence, referring to the amount of resources required for a computation. Ludwig AI confirms its accurate use.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Ludwig's WRAP-UP

In summary, "computational cost" is a grammatically sound and highly prevalent noun phrase, as affirmed by Ludwig AI. It is used primarily in scientific and technical domains to quantify the resources necessary for computational tasks. While alternatives like "computational expense" or "processing overhead" exist, "computational cost" remains a standard term. Remember to quantify the "computational cost" with specific metrics and avoid confusing theoretical costs with practical implementation expenses.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

computational expense

Replaces "cost" with "expense", emphasizing the resources consumed.

processing overhead

Focuses on the burden on processing resources.

algorithmic complexity

Highlights the intricacy of the algorithm affecting resource usage.

resource consumption

Emphasizes the use of resources like time and memory.

performance impact

Focuses on how computation affects overall performance.

time complexity

Specifically refers to how the execution time scales.

space complexity

Specifically refers to how the memory usage scales.

execution time

Focuses on the duration required for computation.

operational cost

Highlights expenses related to operating computational processes.

computational burden

Emphasizes the load placed on computational resources.

FAQs

How to use "computational cost" in a sentence?

You can use "computational cost" to describe the resources needed for a computation. For example, "Reducing the "computational cost" is crucial for real-time applications."

What's the difference between "computational cost" and "computational complexity"?

"Computational cost" refers to the resources consumed, while "computational complexity" describes how the required resources grow with the input size. They are related, but not the same.

What can I say instead of "computational cost"?

You can use alternatives like "computational expense", "processing overhead", or "resource consumption", depending on the specific context.

Why is it important to consider "computational cost"?

Considering "computational cost" is essential for designing efficient algorithms and systems, especially when dealing with limited resources or large datasets. High "computational cost" can lead to slow performance or infeasibility.