low computational costs

USAGE SUMMARY

The phrase "low computational costs" is correct and usable in written English.
You can use it to express that a task or process requires relatively little effort, time, or resources. For example, "Cloud computing is becoming increasingly popular due to its low computational costs and scalability."

✓ Grammatically correct

Science

Engineering

Computer Science

Human-verified examples from authoritative sources

Exact Expressions

40 human-written examples

This can be implemented efficiently on a serial computer, requiring low memory space and low computational costs.

Neurocomputing

Rapid forward modeling during the retrieval process is based on a broad-band approach and the use of emissivity look-up tables for the computation of radiative transfer, yielding accurate results at very low computational costs.

Advances in Space Research

Mean shift has two advantages: low computational costs and robustness against outliers.

EURASIP Journal on Audio, Speech, and Music Processing

Experiments in simulation and with a real robot demonstrate these properties at low computational costs.

Robotics and Autonomous Systems

The simplified approach based on macro-modelling shows a satisfactory accuracy and low computational costs.

Engineering Structures

The algorithm is shown to be highly accurate at relatively low computational costs.

Journal of Computational Physics

Human-verified similar examples from authoritative sources

Similar Expressions

20 human-written examples

Second, it must have low computational cost since we have to reduce computation time to a clinically acceptable level.

BioMed Research International

The urgent requirement of the sustainable computing determines that many security assurance protocols are designed with low computational cost.

Sustainable Computing: Informatics and Systems

Second, the methods have low computational cost, thus suitable for embedded battery management systems (BMSs) with constrained computing capabilities.

Journal of Energy Storage

Both operations have low computational cost.

EURASIP Journal on Advances in Signal Processing

This ensures privacy preservation with low computational cost.

Journal of Big Data

Expert writing Tips

Best practice

When describing algorithms or methods, emphasize the specific techniques used to achieve "low computational costs", such as optimized data structures or parallel processing.

Common error

Avoid vague claims about "low computational costs" without providing specific metrics or comparisons. Quantify the reduction in terms of time, memory, or energy consumption to provide more concrete evidence.

Linguistic Context

The phrase "low computational costs" functions as a descriptive term, typically used as an adjective phrase modifying a noun (e.g., algorithm, method, approach). As Ludwig AI confirms, it is used to express that a task or process requires relatively little effort, time, or resources.

Expression frequency: Common

Frequent in

Science

75%

Engineering

15%

Computer Science

10%

Less common in

News & Media

0%

Formal & Business

0%

Encyclopedias

0%

Ludwig's WRAP-UP

The phrase "low computational costs" is a common and grammatically correct expression used to describe processes or algorithms that require minimal computational resources. As indicated by Ludwig AI, it effectively communicates efficiency and practicality. Predominantly found in scientific and engineering contexts, the phrase emphasizes the resource-friendliness of a method. Alternatives include "computationally inexpensive" and "minimal computational overhead". To ensure clarity, it's important to quantify the reduction in resources when claiming "low computational costs". This phrase is a valuable tool for researchers and engineers aiming to promote the practicality and efficiency of their work.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

computationally inexpensive

Uses the adjective 'inexpensive' to describe the computational process, focusing on the lack of expense.

computationally affordable

Stresses the affordability of the computation process.

reduced computational burden

Highlights the 'burden' or load on the computational system, indicating a decrease in this load.

minimal computational overhead

Focuses on the overhead or extra resources required, emphasizing that it's kept to a minimum.

low resource utilization

Highlights the reduced consumption of resources during computation.

efficient computation

Emphasizes the efficiency of the computation itself, rather than the costs.

lightweight computation

Implies that the computation is 'light' or not resource-intensive, using a more descriptive term.

economical computation

Directly relates to the economic aspect of computation, suggesting cost-effectiveness.

streamlined computation

Suggests that the computational process has been optimized to be more efficient.

optimized computational resources

Focuses on the optimization of resources used in computation, rather than direct costs.

FAQs

How can I describe the benefits of an algorithm that requires minimal resources?

You can describe it as having "low computational costs", being "computationally inexpensive", or exhibiting "efficient computation".

What are some strategies for achieving "low computational costs" in machine learning?

Strategies include using simpler models, reducing the dimensionality of the data, employing optimized algorithms, and leveraging techniques like quantization or pruning.

Is "low computational cost" the same as "high performance"?

Not necessarily. "Low computational cost" refers to the resources required, while "high performance" refers to the speed and accuracy of the computation. An algorithm can have "low computational costs" but not necessarily offer "high performance", and vice versa.

What's the difference between "low computational costs" and "low development costs"?

"Low computational costs" refer to the resources consumed during the execution of an algorithm or process, while "low development costs" refer to the expenses incurred during the creation and implementation of that algorithm or process.