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CGAL Arrangements and Their Applications – A Step-by-Step Guide – Semantic Scholar
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Are you thinking of learning data science from scratch using Python? The authors first demonstrate the features of the arrangement package and related packages using small example programs. This book is about how to use CGAL two-dimensional arrangements to solve problems.
Implementing robust algorithms for arrangements is a notoriously difficult task, and the CGAL arrangements package is the first robust, comprehensive, generic and efficient implementation of data structures and algorithms for arrangements of curves.
Arrangements have numerous applications in a wide range of areas – examples include geographic information systems, robot motion planning, statistics, theie surgery and molecular biology. Have doubts regarding this product?
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