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Numerical Analysis - an area of mathematics that uses various numerical methods to find numerical approximations to mathematical problems, while also analysing those methods to see if there is any way to reduce the numerical error involved in using them, thus resulting in more reliable numerical methods that give more accurate approximations than previously.

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Q: Definition of numerical analysis
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What is the definition of numerical analysis?

It is the study of algorithms that use numerical values for the problems of continuous mathematics.


Daily example of numerical analysis?

numerical analysis application


What is the definition of statistics in accordance to statistical inquiry?

.. Statistics is the science which deals with the collection,presentation,analysis and interpretation of numerical data, as well as drawing valid conclusions and making reasonable decision on the basis of such analysis


How do you solve a problem in numerical analysis?

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What are the differences between numerical methods and numerical analysis?

A numerical method is the same as an algorithm, the steps required to solve a numerical problem. Algorithms became very important as computers were increasingly used to solve problems. It was no longer necessary to solve complex mathematical problems with a single closed form equation. See link on algorithm. According to Wikipedia: Numerical analysis is the study of algorithms for the problems of continuous mathematics (as distinguished from discrete mathematics). See link on numerical analysis. An expanded definition offered by K.E. Atkinson is: Numerical analysis is the area of mathematics and computer science that creates, analyzes, and implements algorithms for solving numerically the problems of continuous mathematics. Such problems originate generally from real-world applications of algebra, geometry and calculus, and they involve variables which vary continuously; these problems occur throughout the natural sciences,social sciences, engineering, medicine, and business. Numerical analysis courses typically are offered as part of Industrial engineering (Operations research), applied mathematics, computer science. Simulation, operations research and computer science are very interrelated