Computation of Hilbert functions
Journal of Symbolic Computation
On lucky ideals for Gro¨bner basis computations
Journal of Symbolic Computation
The projective noether maple package: computing the dimension of a projective variety
Journal of Symbolic Computation
A Computational Proof of the Noether Normalization Lemma
AAECC-6 Proceedings of the 6th International Conference, on Applied Algebra, Algebraic Algorithms and Error-Correcting Codes
An Algorithm for the Computation of the Radical of an Ideal in the Ring of Polynomials
AAECC-9 Proceedings of the 9th International Symposium, on Applied Algebra, Algebraic Algorithms and Error-Correcting Codes
AAECC-10 Proceedings of the 10th International Symposium on Applied Algebra, Algebraic Algorithms and Error-Correcting Codes
Computing grobner bases with hilbert lucky primes
Computing grobner bases with hilbert lucky primes
Modular algorithms for computing Gröbner bases
Journal of Symbolic Computation
Hi-index | 0.00 |
In this paper, we provide first a new algorithm for testing whether a monomial ideal is in Nœther position or not, without using its dimension, within a complexity which is quadratic in input size. Using this algorithm, we provide also a new algorithm to put an ideal in this position within an incremental(one variable after the other) random linear change of the last variables without using its dimension. We describe a modular (probabilistic) version of these algorithms for any ideal using the modular method used in [2] with some modifications. These algorithms have been implemented in the distributed library noether.lib [17] of Singular, and we evaluate their performance via some examples.