large computation

USAGE SUMMARY

The phrase "large computation" is correct and usable in written English.
It can be used when referring to a significant or extensive calculation or processing task, often in the context of computer science or mathematics. Example: "The algorithm requires a large computation to analyze the data set effectively."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Parallel computing divides large computation problems into smaller ones, which are then solved concurrently.

Bioinformatics and Biology Insights

As the cubic terms usually led to a large computation, to reduce the computational complexity, a look-up table was employed in the FS-ECVQ so that the FS-ECVQ held a similar computational complexity as the FINAL.

EURASIP Journal on Audio, Speech, and Music Processing

In summary, both of them make it possible to apply the machine learning algorithms to big data analytics although still many research issues need to be solved, such as the communication cost for different computer nodes [86] and the large computation cost most machine learning algorithms require [126].

Journal of Big Data

However, they need large computation efforts.

International Journal of Electrical Power & Energy Systems

However, three-dimensional simulations of bulk forming processes involve large computation time and memory.

Journal of Materials Processing Technology

However, such analyses require large computation times and complicated theories that are unsuitable for practical designs.

Journal of Constructional Steel Research

While the source map is clearly improved, these methods require a large computation time.

Journal of Sound and Vibration

To perform large computation and storage, a DC is equipped with more than thousands of servers or even more.

Sustainable Computing: Informatics and Systems

One of the problems of the VQ methodology is that it requires large computation time especially for large codebook size.

Parallel Computing

In addition, our algorithm can achieve superior results to existing algorithms-up to 0.72 dB without large computation loading.

AEU - International Journal of Electronics and Communications

The large computation time consumed by a GA implemented in software makes it unsuitable for real time applications.

Applied Soft Computing

Expert writing Tips

Best practice

When discussing limitations of algorithms or models, use "large computation" to highlight the computational demands that make them impractical for real-time applications.

Common error

Avoid using "large computation" when referring to simple or easily manageable calculations. It should be reserved for tasks that genuinely require significant computational resources.

Linguistic Context

The phrase "large computation" functions primarily as a noun phrase. It serves to identify and describe a type of computational task that is characterized by its size and complexity. As Ludwig AI confirms, this phrase is perfectly valid. Examples from Ludwig demonstrate its common use in scientific and technical writing.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Ludwig's WRAP-UP

The phrase "large computation" is a grammatically sound and frequently used term, particularly within scientific and technical domains. Ludwig AI confirms its validity and provides numerous examples of its usage. It functions as a noun phrase to describe computational tasks demanding significant resources, emphasizing the scale and complexity involved. While predominantly formal and scientific in register, understanding its nuances and alternatives can enhance clarity and precision in writing. Be mindful of the scope when using the phrase, reserving it for tasks that genuinely warrant the description. By considering these guidelines, writers can effectively communicate the computational challenges associated with various processes and models.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

extensive calculation

Replaces "computation" with "calculation", emphasizing the process of computing.

significant processing

Substitutes "computation" with "processing", focusing on the handling of data.

complex computation

Emphasizes the intricacy of the computation involved.

heavy processing load

Focuses on the demand placed on computational resources.

intensive computation

Highlights the concentrated effort required for the computation.

substantial calculation

Replaces "large" with "substantial", indicating a considerable amount of calculation.

high computational cost

Shifts the focus to the cost associated with the computation.

resource-intensive computation

Emphasizes the resources required to perform the computation.

computationally expensive

Describes the computation in terms of its expense or difficulty.

massive data processing

Highlights the scale of data being processed.

FAQs

How can I use "large computation" in a sentence?

Use "large computation" to describe tasks that require significant computational resources. For example: "Hydro-elastic analysis based on CFD and FEM has been widely used in the engineering field because of its accurate results however it takes "large computation time" to apply early propeller design stage."

What are some alternatives to "large computation"?

Alternatives include "extensive calculation", "significant processing", or "complex computation", depending on the specific context and nuance you wish to convey.

Is it better to say "large computation" or "complex computation"?

The choice between "large computation" and "complex computation" depends on what you want to emphasize. "Large computation" highlights the scale or amount of processing, while "complex computation" emphasizes the intricacy of the calculations involved.

What makes a computation qualify as a "large computation"?

A computation qualifies as a "large computation" when it requires substantial computational resources, such as processing power, memory, or time, often making it challenging to perform efficiently or in real-time. The term indicates that the task is significantly demanding in terms of computational effort.