LEDA: A Platform for Combinatorial and Geometric Computing by Mehlhorn & Naher
LEDA: Platform for Combinatorial & Geometric Computing - Table of Contents
What You Will Learn in LEDA: Platform for Combinatorial & Geometric Computing
LEDA: A Platform for Combinatorial and Geometric Computing by Kurt Mehlhorn and Stefan Näher serves as the definitive reference for C++ algorithmic software engineering. Accessing this leda platform combinatorial geometric computing mehlhorn pdf allows programmers, software engineers, and computer scientists to explore robust implementations of graphs, priority queues, dictionaries, and computational geometry algorithms.
Written by the original creators of LEDA, this essential leda platform combinatorial geometric computing book bridges the gap between theoretical algorithm design and practical software engineering, emphasizing exact arithmetic and geometric kernel correctness.
Available as an educational study reference via leda platform combinatorial geometric computing pdf download, this fundamental text is crucial for anyone working in computational geometry, network flow algorithms, and advanced C++ programming.
Book Details & Specifications
Title:
LEDA: A Platform for Combinatorial and Geometric Computing by Mehlhorn & Naher
Publisher:
Cambridge University Press
Year:
1999
Pages:
1034
Type:
PDF
Language:
English
ISBN-10 #:
0521563291
ISBN-13 #:
978-0521563291
License:
External Educational Resource
Amazon:
Amazon
About the Author: Kurt Mehlhorn
The author Kurt Mehlhorn
is a distinguished German computer scientist and Director Emeritus at the Max Planck Institute for Informatics, internationally recognized for his pioneering contributions to theoretical computer science, algorithmic software design, and computational geometry.
Stefan Näher is a respected professor of computer science at the University of Trier, best known as the primary architect and co-creator of the LEDA library. Together, their landmark work LEDA: A Platform for Combinatorial and Geometric Computing by Kurt Mehlhorn and Stefan Näher remains an influential cornerstone of modern data structure engineering.
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