Computational geometry numerical analysis

Is numerical analysis useful for computer science?
Numerical analysis is fundamental to data science and data analysis.
It is the study of methods and algorithms that render numerical solutions, using computing machines, to mathematical problems..
What is the difference between computational and numerical analysis?
If numerical analysis is about the mathematical aspects of numerical method design and analysis, scientific computing is about the aspects that involve the computer..
If numerical analysis is about the mathematical aspects of numerical method design and analysis, scientific computing is about the aspects that involve the computer.
numerical analysis, area of mathematics and computer science that creates, analyzes, and implements algorithms for obtaining numerical solutions to problems involving continuous variables.
Such problems arise throughout the natural sciences, social sciences, engineering, medicine, and business.

List of numerical computational geometry topics enumerates the topics of computational geometry that deals with geometric objects as continuous entities and

List of numerical computational geometry topics enumerates the topics of computational geometry that deals with geometric objects as continuous entities and applies methods and algorithms of nature characteristic to numerical analysis.
This area is also called machine geometry, computer-aided geometric design, and geometric modelling.

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Computational geometry numerical analysis

Is numerical analysis useful for computer science?

What is the difference between computational and numerical analysis?