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computational refinement
Grammar usage guide and real-world examplesUSAGE SUMMARY
The phrase "computational refinement" is correct and usable in written English.
It can be used in contexts related to improving algorithms, models, or processes through computational methods. Example: "The researchers focused on computational refinement to enhance the accuracy of their predictive models."
✓ Grammatically correct
Science
Alternative expressions(1)
Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Human-verified examples from authoritative sources
Exact Expressions
2 human-written examples
Both works call upon further computational refinement and/or experimental validations.
Science
Structures were solved by molecular replacement using a rabbit cytosolic SHMT dimer from pdb entry 1CJ0 as a search model and refined using alternating cycles of manual fitting into SigmaA weighted 2mFodFc maps in COOT [ 31] and computational refinement in CNS [ 32] and refmac5 [ 30].
Human-verified similar examples from authoritative sources
Similar Expressions
58 human-written examples
The results indicate that the multilevelvery accurate and efficient.
A good computational complexity refinement is obtained from a code search conducted in this work.
(nine-fold) averaged density by visual inspection, followed by computational rigid-body refinement.
Science
Both methods can improve the computational accuracy with the refinement of mesh.
Two steps of disparity estimation and disparity map refinement increase computational cost mainly caused by cost aggregation in multiple loops.
However the steady-state method needs much less mesh refinement and computational time.
To restrict the computational effort in grid refinement needed for the resolution of the turbulent air streams we consider alternatively a stochastic k-ω turbulence model.
The coarsest grid blocks always cover the entire computational domain, and local refinement is achieved by the bisection of selected blocks in every coordinate direction.
To unlock this potential, research is required addressing a number of areas, including the application of methods under realistic casework conditions and the utilization of computational methods for the refinement and testing of the approach.
Expert writing Tips
Best practice
When describing scientific processes, use "computational refinement" to highlight the iterative improvement of models or algorithms through computational methods.
Common error
Avoid using "computational refinement" interchangeably with general optimization. "Computational refinement" specifically refers to improving existing computational processes, not just any form of optimization.
Source & Trust
85%
Authority and reliability
4.5/5
Expert rating
Real-world application tested
Linguistic Context
The phrase "computational refinement" functions as a noun phrase, typically acting as the object of a verb or preposition. It describes the process of improving a computational model or method through iterative adjustments. Ludwig AI confirms its usability in scientific and technical writing.
Frequent in
Science
100%
Less common in
News & Media
0%
Formal & Business
0%
Encyclopedias
0%
Ludwig's WRAP-UP
The phrase "computational refinement" is a grammatically correct and technically precise term used to describe the iterative improvement of computational models and algorithms, particularly within scientific and research contexts. Ludwig AI validates its usage in the scientific domain. While relatively rare, its meaning is clear, and alternative phrases like "algorithmic improvement" and "model refinement" can be used depending on the specific focus. This phrase typically appears in formal and scientific registers, emphasizing technical accuracy and precision.
More alternative expressions(6)
Phrases that express similar concepts, ordered by semantic similarity:
computational optimization
Emphasizes the process of making a computational method more efficient or effective.
algorithmic improvement
Focuses specifically on enhancing the performance of an algorithm.
numerical optimization
Highlights the optimization of numerical methods.
model refinement
Focuses on improving a model's accuracy and precision.
simulation refinement
Specifically refers to the improvement of simulation processes.
computational tuning
Implies adjusting computational parameters for better results.
enhanced computation
Highlights the improvement of the computational process in general.
computational enhancement
Similar to enhanced computation, but with a stronger emphasis on improvement.
data refinement
Focuses on improving the quality and accuracy of data used in computations.
iterative computation
Highlights the improvement of the computational process through repetition.
FAQs
How is "computational refinement" used in scientific writing?
In scientific writing, "computational refinement" describes the process of iteratively improving computational models or algorithms to enhance accuracy, efficiency, or reliability. It's often used in fields like structural biology and computational physics.
What is the difference between "computational refinement" and "computational optimization"?
"Computational refinement" typically refers to improving an existing computational method or model, while "computational optimization" is a broader term that includes finding the best solution among various possibilities. Refinement suggests iterative improvement, whereas optimization can involve finding an entirely new and better solution.
What are some examples of processes that might involve "computational refinement"?
"Computational refinement" can be applied in various fields, including molecular dynamics simulations, where models are refined to better match experimental data; in image processing, where algorithms are refined to improve image quality; and in machine learning, where models are refined to enhance predictive accuracy.
Are there alternatives to using the phrase "computational refinement"?
Depending on the specific context, you might use alternatives such as "algorithmic improvement", "model refinement", or "numerical optimization". The best choice depends on whether you are focusing on the algorithm itself, the model being used, or the numerical methods involved.
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Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Source & Trust
85%
Authority and reliability
4.5/5
Expert rating
Real-world application tested