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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com
discrete analysis
Grammar usage guide and real-world examplesUSAGE SUMMARY
"discrete analysis" is correct and usable in written English. You can use it in contexts related to mathematics, computer science, or data analysis where distinct or separate elements are examined. For example, "The study focused on discrete analysis of the dataset to identify patterns." Alternative expressions include "quantitative analysis" and "separate analysis."
✓ Grammatically correct
Science
Academia
News & Media
Alternative expressions(20)
item analysis
situational analysis
certain analysis
situational assessment
contextual assessment
environmental scan
preliminary assessment
interim analysis
economic analysis
situational awareness
a location assessment
geographic analysis
site analysis
spatial analysis
realities survey
case-by-case evaluation
individual assessment
SWOT
strategic assessment
base on the situation
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
60 human-written examples
This workshop will focus on future directions in discrete analysis.
Public interface to discrete analysis methods to be applied to a Stream given as an argument.
Piecewise quadratic interpolation is used to obtain a differentiable and semi-continuous constraint function using the discrete analysis results from finite element analysis.
Science
Via these methods of discrete analysis, differential equations are reduced to simultaneous linear algebraic equations and thus can be solved numerically.
The model is formulated on the basis of the inviscid elastoplastic model by [Carol, I., Prat, P.C., López, C.M., 1997. "A normal/shear cracking model. Interface implementation for discrete analysis". Journal of Engineering Mechanics, ASCE, 123 (8), pp. 765 773.].
In this study, a meso-scale discrete analysis using 3D rigid body spring model (RBSM) is conducted to investigate the failure process and to investigate the effect of these measures.
Science
The results were then used to extrapolate the contribution of the reduction zone in published research including UCG field trials where discrete analysis of the zones within the gasification cavity was not possible.
Science
Thirdly, the unification of continuous and discrete analysis is also significant for this study.
His purpose was to unify continuous and discrete analysis and extend the results in one theory.
In [8] Hilger introduced the time scale calculus that unifies continuous and discrete analysis.
In 1988, Hilger introduced the calculus on time scales which unifies continuous and discrete analysis.
Expert writing Tips
Best practice
When using "discrete analysis", ensure the context clearly indicates that you are referring to an analysis of distinct, separate elements rather than continuous data. This is particularly important in fields like mathematics, computer science, and engineering.
Common error
Avoid using "discrete analysis" when "continuous analysis" is more appropriate. "Discrete analysis" is suited for distinct, non-continuous data, while "continuous analysis" applies to data that flows seamlessly, such as changes over time or physical properties.
Source & Trust
80%
Authority and reliability
4.5/5
Expert rating
Real-world application tested
Linguistic Context
The primary grammatical function of "discrete analysis" is as a noun phrase, where "discrete" functions as an adjective modifying the noun "analysis". Ludwig AI confirms its use across various scientific and academic contexts.
Frequent in
Science
60%
Academia
30%
News & Media
10%
Less common in
Formal & Business
0%
Encyclopedias
0%
Wiki
0%
Ludwig's WRAP-UP
In summary, "discrete analysis" is a noun phrase used to describe the examination of distinct, separate data elements, often in scientific and academic contexts. Ludwig AI validates its grammatical correctness and widespread use. It is most frequently encountered in science and academia, with other contexts being less common. When using this phrase, ensure clarity and accuracy to avoid confusion with "continuous analysis". Related phrases like "separate analysis" or "independent analysis" can provide alternative ways to express similar concepts. Always consider the specific context to determine the most appropriate phrasing.
More alternative expressions(10)
Phrases that express similar concepts, ordered by semantic similarity:
separate analysis
Emphasizes the act of analyzing components individually.
independent analysis
Highlights the unbiased and autonomous nature of the analytical process.
distinct analysis
Focuses on the unique and distinguishable characteristics of the analysis.
segmental analysis
Implies breaking down the subject into segments for individual analysis.
component analysis
Suggests that the analysis is focused on the individual components of a system.
item analysis
Focuses on the analysis of individual items or data points.
granular analysis
Emphasizes a detailed and fine-grained level of analysis.
individual analysis
Highlights the analysis of entities one at a time.
partitioned analysis
Indicates that the analysis is performed on partitioned or divided data.
disaggregated analysis
Suggests breaking down aggregated data for more detailed analysis.
FAQs
What does "discrete analysis" mean?
"Discrete analysis" refers to analyzing distinct, separate elements or data points rather than continuous data. It is often used in mathematics, computer science, and engineering.
How can I use "discrete analysis" in a sentence?
You can use "discrete analysis" to describe a method of examining individual components. For example, "The study focused on "discrete analysis" of the dataset to identify patterns."
What are some alternatives to "discrete analysis"?
Alternatives include "separate analysis", "independent analysis", or "distinct analysis", depending on the specific context.
In what fields is "discrete analysis" commonly used?
"Discrete analysis" is commonly used in fields such as mathematics, computer science, engineering, and statistics to analyze data that is not continuous.
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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
80%
Authority and reliability
4.5/5
Expert rating
Real-world application tested