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Basics of Computational Geometry

How useful is computational geometry?
Computational geometry algorithms are used to solve problems related to motion planning, path planning, obstacle avoidance, spatial analysis, and shape manipulation.
The algorithms in this field are presented in a pseudo-code that is detailed enough to make it relatively easy to implement them.
What is computational geometry in ML?
Computational geometry is a discipline of computer science devoted to the study of problems which can be stated in terms of geometric objects, such as points, lines, circles, and other structures in geometric spaces.
Who invented computational geometry?
Computational geometry is a term claimed by a number of different groups.
The term was coined perhaps first by Marvin Minsky in his book “Perceptrons”, which was about pattern recognition, and it has also been used often to describe algorithms for manipulating curves and surfaces in solid modeling.
Computational geometry is the design and analysis of algorithms for geometric problems that arise in low dimensions, typically two or three dimensions.
Many elegant algorithmic design and analysis techniques have been devised to attack geometric problems, and these problems have huge applications in many other fields._{22 nov. 2022}

Computational geometry is a branch of computer science devoted to the study of algorithms which can be stated in terms of geometry. Some purely geometrical problems arise out of the study of computational geometric algorithms, and such problems are also considered to be part of computational geometry.

Basics of Computational Geometry

How useful is computational geometry?

What is computational geometry in ML?

Who invented computational geometry?