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numerical analysis

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "numerical analysis" is correct and usable in written English.
It is used to describe the process of using numerical methods and algorithms to solve problems. For example, "My research project involves numerical analysis of climate change data."

✓ Grammatically correct

Academia

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

59 human-written examples

Numerical Analysis: An Introduction.

Numerical analysis of stability.

18.330 Introduction to Numerical Analysis.

Parallel Methods in Numerical Analysis.

The numerical analysis was carried out by I.D.L.

Science & Research

Nature

For his fundamental contributions to numerical analysis.

Math 128A, Numerical Analysis, Spring 2017.

A brief history of numerical analysis.

Numerical analysis is the study of such computational methods.

Encyclopedias

Britannica

J.B.K. performed analytical derivations and G.S. carried out numerical analysis.

Science & Research

Nature

wrote the micromagnetic code MERRILL used for numerical analysis.

Science & Research

Nature
Show more...

Expert writing Tips

Best practice

When writing about technical subjects, clearly define the specific numerical methods used in your "numerical analysis" to ensure precision.

Common error

Avoid presenting "numerical analysis" as purely theoretical. Always emphasize its practical application in solving real-world problems through computation.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

87%

Authority and reliability

4.6/5

Expert rating

Real-world application tested

Linguistic Context

The primary grammatical function of "numerical analysis" is as a noun phrase. It typically acts as the subject or object of a sentence, denoting a field of study or a specific analytical process. Ludwig AI indicates that the phrase is correct and usable in written English.

Expression frequency: Very common

Frequent in

Academia

42%

Science

37%

News & Media

12%

Less common in

Encyclopedias

7%

Formal & Business

1%

Social Media

1%

Ludwig's WRAP-UP

In summary, "numerical analysis" is a noun phrase widely used to describe the study of algorithms for approximating solutions to mathematical problems. Ludwig AI confirms its correctness and usability in various contexts, predominantly academic and scientific. The phrase finds frequent application in research, technical reports, and educational materials, highlighting its role in solving complex problems. Related terms include "computational mathematics" and "mathematical modeling". Remember to emphasize the practical applications of "numerical analysis" and avoid presenting it as purely theoretical. With its roots in academia and its prevalence in scientific literature, mastering the usage of "numerical analysis" is essential for clear and accurate communication in technical fields.

FAQs

How is "numerical analysis" used in a sentence?

You can use "numerical analysis" to describe the study of algorithms that use numeric approximation for the problems of mathematical analysis, as in "The project requires a thorough "numerical analysis" of the data set".

What's the difference between "numerical analysis" and "mathematical analysis"?

"Numerical analysis" focuses on finding approximate solutions to problems using numerical methods, while "mathematical analysis" deals with the theoretical underpinnings of calculus and related topics.

What skills are needed for "numerical analysis"?

Proficiency in programming, a strong foundation in mathematics (calculus, linear algebra), and familiarity with numerical methods are essential for "numerical analysis".

What is the purpose of performing "numerical analysis"?

"Numerical analysis" is performed to obtain approximate solutions to mathematical problems that are difficult or impossible to solve analytically. It allows for the simulation and prediction of system behavior in various fields.

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Source & Trust

87%

Authority and reliability

4.6/5

Expert rating

Real-world application tested

Most frequent sentences: