LEDA - A platform for Combinatorial and Geometric Computing
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The goal of this course is to provide an overview of the techniques developed in computational geometry as well as some of its application areas. The topics covered in the course will include:. Geometric Fundamentals: Models of computation, lower bound techniques, geometric primitives, geometric transforms.
LEDA: A Platform for Combinatorial and Geometric Computing
Convex hulls: Planar convex hulls, higher dimensional convex hulls, randomized, output-sensitive, and dynamic algorithms, applications of convex hull. Written by the main authors of LEDA, it is the definitive account, describing how the system is constructed and operates and how it can be used.
The authors supply ample examples from a range of areas to show how the library can be used in practice, making the book essential for all workers in algorithms, data structures and computational geometry. I find it both highly commendable and also somewhat mind-boggling that well-known researchers will take time to contribute in substantialways to the practice: commendable, because such work contributes to the vitality and progress of the practical side of our discipline, while simultaneously validating the need for fundamental research; and mind-boggling because I can only imagine the investment of time such a project requires.
LEDA: A platform for combinatorial and geometric computing
At the time the book was written over institutions had intalled LEDA on local systems And so, my hat is off to Kurt Mehlhorn and Stefan Naher for their fine contribution to our discipline. LEDA is the first library of efficient data types and algorithms and a platform for combinatorial and geometric computing and this is the first book devoted to it. Written by the main authors of LEDA it is the definitive account, making the book essential for all workers in algorithms, data structures and computational geometry.
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Articles Cited by Co-authors. Title Cited by Year Data structures and algorithms: 1.
Searching and sorting K Mehlhorn. Journal of Machine Learning Research 12 Sep , , Artificial Intelligence and Statistics, , Information Processing Letters 27 3 , , Information Processing Letters 37 4 , , Articles 1—20 Show more. Help Privacy Terms.
Data structures and algorithms: 1. Searching and sorting K Mehlhorn Springer 84, 90 ,