computational methods for generating

USAGE SUMMARY

The phrase "computational methods for generating" is correct and usable in written English.
You can use it when discussing techniques or approaches in computational fields, particularly in relation to generating data, models, or outputs. Example: "The research focuses on computational methods for generating realistic simulations of climate change scenarios."

✓ Grammatically correct

Science

Academia

Human-verified examples from authoritative sources

Exact Expressions

1 human-written examples

Concordant results from inter- and intra-platform comparisons were maximised by testing many popular computational methods for generating fold changes and significances and by only considering oligonucleotides giving high expression levels.

BMC Genomics

Human-verified similar examples from authoritative sources

Similar Expressions

59 human-written examples

Finally, although the analysis itself is stated nonprocedurally, it admits of a direct computational method for generating interpretations.

Harvard University

The main purpose of the present work is to develop an efficient computational method for generating correlated stress time histories for aircraft structures under gust loads.

International Journal of Fatigue

This paper presents a computational method for automatically generating aesthetic patterns based on minimal user input.

Procedia Manufacturing

This paradox can, in part, be explained by the shortage of computational methods for verifying the accuracy of generated sequences and accommodating large datasets.

BMC Genomics

The development of computational methods for identifying potential risks associated with chemicals is desirable for generating testable hypothesis to accelerate the hazard identification process.

Journal of Cheminformatics

Finally, we describe the implementation of two methods for generating quasicrystal points and discuss their respective computational complexities.

Applied Numerical Mathematics

With the huge amount of uncharacterized protein sequences generated in the post-genomic age, it is highly desirable to develop effective computational methods for quickly and accurately predicting their functions.

Plosone

Computational methods for automated genome annotation are critical to understanding and interpreting the bewildering mass of genomic sequence data presently being generated and released.

Computers & Chemistry

A number of groups within the Network are developing methods for generating data from large numbers of single cells, which will present new computational challenges for the integration with current modelling approaches36.

Nature

Computational Methods for Biomedical Image Analysis and Interpretation.

Stanford University

Expert writing Tips

Best practice

When writing scientific papers, clearly define the "computational methods for generating" your results to ensure reproducibility and allow others to build upon your work.

Common error

Avoid vague descriptions of "computational methods for generating" data. Instead, specify the algorithms, software, and parameters used for clarity and precision.

Linguistic Context

The phrase "computational methods for generating" functions as a noun phrase that describes techniques or approaches used in computer science and related fields. Ludwig AI indicates that it is a correct and usable phrase in written English.

Expression frequency: Common

Frequent in

Science

60%

Academia

30%

News & Media

5%

Less common in

Encyclopedias

2%

Formal & Business

2%

Wiki

1%

Ludwig's WRAP-UP

In summary, the phrase "computational methods for generating" is a grammatically correct and commonly used term, as confirmed by Ludwig AI. It primarily functions as a noun phrase, typically found in formal and scientific contexts. Its main purpose is to describe techniques used to create or derive something computationally. It is most frequently used in Science and Academia, indicating its relevance in research and technical fields. The phrase's effectiveness hinges on the clear specification of the methods employed to ensure reproducibility and avoid overgeneralization.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

algorithmic approaches to create

Emphasizes the use of algorithms, which are step-by-step procedures, to achieve generation.

computer-based techniques for producing

Highlights the role of computers and the act of producing results.

digital strategies for creating

Focuses on strategic, digitally-driven creation processes.

simulation methods for devising

Implies generation through simulation and devising new solutions.

automated routines to yield

Stresses the automation aspect and the act of yielding results.

modeling techniques for developing

Focuses on using models to develop or generate outcomes.

numerical recipes for constructing

Evokes a more hands-on approach to constructing through numerical methods.

mathematical formulations for deriving

Highlights the mathematical underpinnings of deriving new results.

code-driven processes for synthesizing

Implies the use of code to synthesize or generate new entities.

data-driven methodologies for originating

Focuses on methodologies that use data as the primary driver for originating new outputs.

FAQs

How can I rephrase "computational methods for generating"?

You can use alternatives like "algorithmic approaches to create", "computer-based techniques for producing", or "digital strategies for creating" depending on the context.

What are some common applications of "computational methods for generating"?

"Computational methods for generating" are commonly used in fields like data science, machine learning, computer graphics, and scientific simulations. They help create models, datasets, and visualizations.

Are there specific tools commonly associated with "computational methods for generating"?

Yes, tools like Python with libraries such as NumPy and SciPy, MATLAB, R, and specialized simulation software are frequently used in conjunction with "computational methods for generating" data and models.

How do I choose the right "computational methods for generating" data for my project?

The choice depends on the nature of your data, the desired outcome, and the available resources. Consider factors like data complexity, computational power, and the need for accuracy and speed. Experiment with different methods to find the best fit.