computational burden

USAGE SUMMARY

"computational burden" is a correct phrase that is used in written English.
You can use it when referring to a large amount of work that requires a lot of computing power to process or analyze. For example, "The computational burden of our data analysis project was immense - we needed three computers running 24 hours a day just to process the data."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Nevertheless, such an approach unavoidably raises again the computational burden.

Journal of Computational Physics

The assumption is adopted in order to reduce significantly the computational burden.

Nature

Thus, a low computational burden design is obtained.

Journal of the Franklin Institute

However, this approach results in an excessive computational burden.

Water Research

This leads to considerable savings in computational burden.

Signal Processing

This method needs simple calculations and has low computational burden.

Aerospace Science and Technology

This pre-selection results in a significantly reduced computational burden.

Applied Acoustics

Current expansion models usually overlook some of these uncertainties in order to reduce the computational burden.

Electric Power Systems Research

The main aim of this lumping approach was the reduction of the kinetics and computational burden.

Chemical Engineering Science

In this paper a novel approach, capable of reducing significantly the computational burden, is developed.

Journal of Computational Physics

To reduce the computational burden, field-theoretic methodologies usually take advantage of the mean-field approximation.

Polymer

Expert writing Tips

Best practice

Use "computational burden" when referring to the overall resources (time, memory, processing power) needed for a computation.

Common error

Avoid using "computational burden" interchangeably with algorithm complexity. "Computational burden" refers to the practical resources consumed, while algorithm complexity describes the theoretical scaling of resource usage.

Linguistic Context

The phrase "computational burden" functions as a noun phrase that typically acts as the subject or object of a sentence. It identifies the amount of computational resources required for a given task or process. Ludwig's examples show its use in diverse scientific literature.

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 "computational burden" is a correct and commonly used term in scientific and technical writing, as affirmed by Ludwig. It refers to the amount of computational resources needed for a task. It primarily appears in scientific contexts and is used to assess or describe the difficulty and resource intensity of computations. Alternatives like "processing overhead" or "computational cost" can be used depending on the specific context. When using this term, ensure you are referring to the practical resources used, and consider optimizing algorithms to reduce this "computational burden".

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

computational cost

Emphasizes the cost aspect, relating the burden to the expenditure of resources like time and energy.

computational expense

Similar to computational cost, but emphasizes the financial aspect or the value of the resources consumed.

processing overhead

Focuses on the extra processing time and resources needed for a specific task, highlighting the supplementary aspect of the burden.

processing demands

Similar to processing load, but with more emphasis on requesting external data and resources.

processing load

Highlights the amount of data or tasks processed, emphasizing the strain on the processing system.

overhead

A more general term that refers to the resources consumed, and time spent that may be unnecessary in the process.

resource intensity

Emphasizes the degree to which a task consumes resources, particularly computing resources.

algorithmic complexity

Refers to the inherent complexity of an algorithm, directly impacting the computational requirements.

performance bottleneck

Identifies a specific point where processing is slowed down due to high computational demands.

system demands

Highlights the overall demands placed on a system by a computation, encompassing various resource considerations.

FAQs

How can I reduce the "computational burden" of a task?

You can reduce the "computational burden" by optimizing your algorithms, using more efficient data structures, employing parallel processing techniques, or using approximation algorithms to trade off accuracy for speed.

What's the difference between "computational burden" and "algorithmic complexity"?

"Computational burden" refers to the practical resources (time, memory, power) required to execute a computation, while "algorithmic complexity" describes how the resources required grow as the input size increases.

What are some alternatives to "computational burden"?

Alternatives to "computational burden" include "processing overhead", "computational cost", and "processing load", depending on the specific aspect you want to emphasize.

In what contexts is the term "computational burden" commonly used?

The term "computational burden" is commonly used in scientific research, engineering, and computer science to describe the resources required for simulations, data analysis, and other computationally intensive tasks. Ludwig's examples show how often it appears in scientific publications.