Border basis detection (BBD) is described as follows: given a set of generators of an ideal, decide whether that set of generators is a border basis of the ideal with respect to some order ideal. The motivation for this problem comes from a similar problem related to Grobner bases termed as Grobner basis detection (GBD) which was proposed by Gritzmann and Sturmfels (1993). GBD was shown to be NP-hard by Sturmfels and Wiegelmann (1996). In this paper, we investigate the computational complexity of BBD and show that it is NP-complete
The Gröbner basis method for solving systems of polynomial equations became very popular in the comp...
There are many paradigms for pattern classification such as the optimal Bayesian, kernel-based metho...
AbstractThe Buchberger–Möller algorithm is a well-known efficient tool for computing the vanishing i...
Border basis detection (BBD) is described as follows: given a set of generators of an ideal, decide ...
AbstractGröbner basis detection (GBD) is defined as follows: given a set of polynomials, decide whet...
Abstract. Gröbner basis detection (GBD) is defined as follows: given a set of polynomials, decide w...
The theory of Grobner bases has garnered the interests of a large number of researchers in computati...
AbstractGröbner basis detection (GBD) is defined as follows: given a set of polynomials, decide whet...
AbstractThis paper presents several algorithms that compute border bases of a zero-dimensional ideal...
AbstractThis paper presents several algorithms that compute border bases of a zero-dimensional ideal...
International audienceIn this paper, we generalized the construction of border bases to non-zero dim...
Border bases have recently attracted a lot of attention. Here we study the problem of generalizing o...
Normalization of polynomials plays a vital role in the approximate basis computation of vanishing id...
AbstractIn this paper we continue the study of the border basis scheme we started in Kreuzer and Rob...
AbstractThe paper describes and analyzes a method for computing border bases of a zero-dimensional i...
The Gröbner basis method for solving systems of polynomial equations became very popular in the comp...
There are many paradigms for pattern classification such as the optimal Bayesian, kernel-based metho...
AbstractThe Buchberger–Möller algorithm is a well-known efficient tool for computing the vanishing i...
Border basis detection (BBD) is described as follows: given a set of generators of an ideal, decide ...
AbstractGröbner basis detection (GBD) is defined as follows: given a set of polynomials, decide whet...
Abstract. Gröbner basis detection (GBD) is defined as follows: given a set of polynomials, decide w...
The theory of Grobner bases has garnered the interests of a large number of researchers in computati...
AbstractGröbner basis detection (GBD) is defined as follows: given a set of polynomials, decide whet...
AbstractThis paper presents several algorithms that compute border bases of a zero-dimensional ideal...
AbstractThis paper presents several algorithms that compute border bases of a zero-dimensional ideal...
International audienceIn this paper, we generalized the construction of border bases to non-zero dim...
Border bases have recently attracted a lot of attention. Here we study the problem of generalizing o...
Normalization of polynomials plays a vital role in the approximate basis computation of vanishing id...
AbstractIn this paper we continue the study of the border basis scheme we started in Kreuzer and Rob...
AbstractThe paper describes and analyzes a method for computing border bases of a zero-dimensional i...
The Gröbner basis method for solving systems of polynomial equations became very popular in the comp...
There are many paradigms for pattern classification such as the optimal Bayesian, kernel-based metho...
AbstractThe Buchberger–Möller algorithm is a well-known efficient tool for computing the vanishing i...