Gröbner Bases (Gröbner Bases)

From Algorithm Wiki
Revision as of 11:21, 15 February 2023 by Admin (talk | contribs) (Created page with "{{DISPLAYTITLE:Gröbner Bases (Gröbner Bases)}} == Description == In mathematics, and more specifically in computer algebra, computational algebraic geometry, and computational commutative algebra, a Gröbner basis is a particular kind of generating set of an ideal in a polynomial ring $K(x_1, \ldots ,x_n)$ over a field $K$. As an algorithmic problem, given a set of polynomials in $K(x_1, \ldots,x_n)$, determine a Gröbner basis. == Parameters == <pre>n: number of...")
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search

Description

In mathematics, and more specifically in computer algebra, computational algebraic geometry, and computational commutative algebra, a Gröbner basis is a particular kind of generating set of an ideal in a polynomial ring $K(x_1, \ldots ,x_n)$ over a field $K$. As an algorithmic problem, given a set of polynomials in $K(x_1, \ldots,x_n)$, determine a Gröbner basis.

Parameters

n: number of variables in each polynomial
d: maximal total degree of the polynomials

Table of Algorithms

Name Year Time Space Approximation Factor Model Reference
Buchberger's algorithm 1976 d^{({2}^{(n+o({1})})}) d^{({2}^{(n+o({1}))})}?? Exact Deterministic Time
Faugère F4 algorithm 1999 $O(C(n+D_reg, D_reg)$^{\omega}) where omega is the exponent on matrix multiplication $O(C(n+D_{reg}, D_{reg})$^{2})? Exact Deterministic Time
Faugère F5 algorithm 2002 $O(C(n+D_reg, D_reg)$^{\omega}) where omega is the exponent on matrix multiplication $O(C(n+D_{reg}, D_{reg})$^{2})? Exact Deterministic Time

Time Complexity graph

Gröbner Bases - Time.png

Space Complexity graph

Gröbner Bases - Space.png

Pareto Decades graph

Gröbner Bases - Pareto Frontier.png