EconPapers    
Economics at your fingertips  
 

Reliable Geometric Computing

Kurt Mehlhorn ()
Additional contact information
Kurt Mehlhorn: Max-Planck-Institut für Informatik

A chapter in Operations Research Proceedings 2006, 2007, pp 111-111 from Springer

Abstract: Abstract Reliable implementation of geometric algorithms is a notoriously difficult task. Algorithms are usually designed for the Real-RAM, capable of computing with real numbers in the sense of mathematics, and for non-degenerate inputs. But, real computers are not Real-RAMs and inputs are frequently degenerate.

Date: 2007
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-540-69995-8_17

Ordering information: This item can be ordered from
http://www.springer.com/9783540699958

DOI: 10.1007/978-3-540-69995-8_17

Access Statistics for this chapter

More chapters in Operations Research Proceedings from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:oprchp:978-3-540-69995-8_17