suitable algorithm for

USAGE SUMMARY

The phrase "suitable algorithm for" is correct and usable in written English.
It can be used when discussing an algorithm that is appropriate or fitting for a specific task or problem. Example: "In order to optimize the data processing, we need to identify a suitable algorithm for our requirements."

✓ Grammatically correct

Science

Engineering

Computer Science

Human-verified examples from authoritative sources

Exact Expressions

28 human-written examples

Also, a suitable algorithm for mask generation is proposed.

Microelectronics Journal

Selected parameters were used to design a suitable algorithm for control and monitoring of the drilling process.

Procedia Engineering

Our study is an effort to determine the most suitable algorithm for hardware implementation with FPGA devices.

Computers & Electrical Engineering

This paper presents a sensor fusion framework for selecting online the most reliable logical sensors and the most suitable algorithm for fusing sensor data in a robot platform.

Robotics and Autonomous Systems

When combined with a suitable algorithm for the determination of the characteristic polynomial of a matrix, the method becomes quite efficient.

Chemical Engineering Science

While several targets behavior and correspondent echo detection algorithms have been studied, a survey to address a suitable algorithm for ionospheric sounder has to be carried out.

Advances in Space Research

Human-verified similar examples from authoritative sources

Similar Expressions

32 human-written examples

The comparative study reveals that NSGA-II and AMGA seem the most suitable algorithms for this kind of problem.

Composites Part B: Engineering

Based on the results, it can be concluded that GBM and SVM are more suitable algorithms for operational implementation of this application.

ISPRS Journal of Photogrammetry and Remote Sensing

The results are discussed according to the particular requirements of a DRS for mobile applications, showing that PAES and NSGA-II are the most suitable algorithms for mobile environments.

Journal of Systems and Software

Clare, A. S., Cummings, M. L., and Bertuccelli, L., Identifying Suitable Algorithms for Human-Computer Collaborative Scheduling of Multiple Unmanned Vehicles, AIAA Aerospace Sciences Meeting, Nashville, TN, 2012.

Duke University

One can adopt analytical models which are appropriate for some specific scenarios to study the influence of different delay components, so that the optimization problem can be solved by suitable algorithms for some restricted conditions.

EURASIP Journal on Wireless Communications and Networking

Expert writing Tips

Best practice

When choosing an algorithm, clearly define the problem you're trying to solve and the specific requirements the algorithm must meet. This ensures you select a "suitable algorithm for" the task at hand.

Common error

Avoid assuming an algorithm that works well in one context will automatically be a "suitable algorithm for" a different problem. Always validate its performance in the new scenario.

Linguistic Context

The phrase "suitable algorithm for" functions as an adjective phrase modifying "algorithm" to specify its appropriateness for a particular task. As confirmed by Ludwig, it correctly conveys the idea of an algorithm being well-matched to a specific requirement or context. Examples in Ludwig highlight its use in various scientific and technical domains.

Expression frequency: Common

Frequent in

Science

79%

Academia

11%

Formal & Business

3%

Less common in

News & Media

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "suitable algorithm for" is a grammatically correct and commonly used phrase, as confirmed by Ludwig, to describe an algorithm that is well-matched to a specific task. It's most frequently found in formal scientific and technical writing. When using this phrase, ensure you've clearly defined the problem and requirements to avoid overgeneralizing the algorithm's applicability. Remember that choosing the "suitable algorithm for" a task greatly affects overall efficiency, accuracy, and resource utilization. Alternative phrasing like "appropriate algorithm for" or "optimal algorithm for" may provide subtle differences in meaning.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

appropriate algorithm for

Replaces "suitable" with "appropriate", suggesting a fitting or proper algorithm.

well-suited algorithm for

Replaces "suitable" with "well-suited", stressing the algorithm's compatibility with the task.

fitting algorithm for

Uses "fitting" instead of "suitable", emphasizing how well the algorithm matches the requirements.

proper algorithm for

Substitutes "suitable" with "proper", indicating an algorithm that adheres to standards or specifications.

ideal algorithm for

Replaces "suitable" with "ideal", conveying the notion of a perfect or optimal algorithm.

effective algorithm for

Focuses on the algorithm's ability to produce the desired result, highlighting its effectiveness.

optimal algorithm for

Emphasizes the algorithm's ability to achieve the best possible outcome.

algorithm of choice for

Highlights the preferred or selected algorithm for a particular application.

algorithm tailored for

Highlights the algorithm's customization to a specific need or application.

algorithm designed for

Focuses on the algorithm's purpose or intended use.

FAQs

How do I use "suitable algorithm for" in a sentence?

You can use "suitable algorithm for" to describe an algorithm that is well-matched to a particular task or problem. For example, "We need to find a "suitable algorithm for" image recognition."

What's a good alternative to "suitable algorithm for"?

Alternatives include "appropriate algorithm for", "fitting algorithm for", or "optimal algorithm for" depending on the specific nuance you want to convey.

When is it important to choose a "suitable algorithm for" a task?

Choosing a "suitable algorithm for" a task is crucial when efficiency, accuracy, or resource constraints are critical. The wrong algorithm can lead to poor performance or incorrect results.

What factors should I consider when selecting a "suitable algorithm for" my needs?

Consider factors such as the problem's complexity, the size of the dataset, the required accuracy, the available computational resources, and the algorithm's ease of implementation and maintenance.