Carnival of Samplings: Nets, Approximations, Relative and Sensitive
Sariel Har-Peled
TL;DR
This paper surveys various sampling techniques in computational geometry, highlighting their theoretical foundations and practical applications.
Contribution
It provides a comprehensive overview of existing sampling methods and their properties in computational geometry.
Findings
Summarizes key sampling results in the field
Identifies open problems and research directions
Connects sampling techniques to geometric algorithms
Abstract
We survey several results known on sampling in computational geometry.
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Taxonomy
TopicsComputational Geometry and Mesh Generation · Machine Learning and Algorithms · Digital Image Processing Techniques