EconPapers    
Economics at your fingertips  
 

A Practical Method for Floating-Point Gröbner Basis Computation

Tateaki Sasaki ()
Additional contact information
Tateaki Sasaki: University of Tsukuba, Institute of Mathematics

A chapter in Computer Mathematics, 2014, pp 109-124 from Springer

Abstract: Abstract Computing Gröbner bases with inexact coefficients is eagerly desired in industrial applications, but the computation with floating-point numbers is quite unstable if performed naively. In previous papers, the present author clarified that large term-cancellations occur frequently making the computation unstable, and he proposed a method of removing the harm of exact term-cancellations and a method of estimating the amounts of inexact term-cancellations. However, the estimation is very rough and never satisfactory. The inexact cancellations cause the accuracy loss of the output system, hence it is important to estimate their amounts precisely. In this chapter, we propose a practical method of estimating the amounts of inexact cancellations fairly well and very simply. We have tested our method by several examples, and obtained reasonable results. We also propose a simple device to reduce the amounts of exact term-cancellations.

Keywords: Inexact Cancellation; High-precision Method; Initial Accuracy; Input Polynomials; Polynomial Remainder Sequences (search for similar items in EconPapers)
Date: 2014
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:sprchp:978-3-662-43799-5_10

Ordering information: This item can be ordered from
http://www.springer.com/9783662437995

DOI: 10.1007/978-3-662-43799-5_10

Access Statistics for this chapter

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

 
Page updated 2026-06-01
Handle: RePEc:spr:sprchp:978-3-662-43799-5_10